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Content provider: Intersect Australia 

  • Excel for Researchers at USYD Online

    15 - 16 July 2021

    Excel for Researchers at USYD Online https://staging.dresa.org.au/events/excel-for-researchers-at-usyd-online ## About this course Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. 2021-07-15 09:30:00 UTC 2021-07-16 12:30:00 UTC Intersect Australia University of Sydney Intersect Training: training@intersect.org.au [] [] 30 workshop host_institution Exceldata wranglingPivot tablesdata visualisation

  • Longitudinal Trials with REDCap at Intersect Online

    6 September 2021

    Longitudinal Trials with REDCap at Intersect Online https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-at-intersect-online ## About this course REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. 2021-09-06 09:30:00 UTC 2021-09-06 12:30:00 UTC Intersect Australia Sydney, Australia Sydney Australia Intersect Intersect Training: training@intersect.org.au [] ResearchersHDR studentsAcademicsProfessional Staff 25 workshop open_to_all REDCapLongitudinal project

  • Data Capture and Surveys with REDCap at Intersect Online

    13 September 2021

    Data Capture and Surveys with REDCap at Intersect Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-intersect-online ## About this course REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. 2021-09-13 09:30:00 UTC 2021-09-13 12:30:00 UTC Intersect Australia Across Australia, Australia Across Australia Australia IntersectIntersect Intersect Training: training@intersect.org.au [] ResearchersHDR studentsAcademicsProfessional Staff 25 workshop open_to_all REDCapprogramming

  • Excel for Researchers

    23 - 24 February 2022

    Excel for Researchers https://staging.dresa.org.au/events/excel-for-researchers Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.You'll learn:'Clean up’ messy research dataOrganise, format and name your dataInterpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)Perform calculations on your data using functions (MAX, MIN, AVERAGE)Extract significant findings from your data (PIVOT TABLE, VLOOKUP)Manipulate your data (convert data format, work with DATES and TIMES)Create graphs and charts to visualise your data (CHARTS)Handy tips to speed up your workPrerequisites:The course has no prerequisites.For more information, please click here. 2022-02-23 13:30:00 UTC 2022-02-24 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python

    24 - 25 February 2022

    Learn to Program: Python https://staging.dresa.org.au/events/learn-to-program-python-1d664f3e-97db-4483-92d7-fcdaad8074fa Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Introduction to the JupyterLab interface for programmingBasic syntax and data types in PythonHow to load external data into PythonCreating functions (FUNCTIONS)Repeating actions and anylsing multiple data sets (LOOPS)Making choices (IF STATEMENTS - CONDITIONALS)Ways to visualise data in PythonPrerequisites:No prior experience with programming needed to attend this course.We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found here.For more information, please click here. 2022-02-24 10:00:00 UTC 2022-02-25 14:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows

    25 February 2022

    Getting started with NVivo for Windows https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-d287a9d5-d64c-4b7c-835d-4c991df0ccf0 Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers.NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner.You'll learn:Create and organise a qualitative research project in NVivoImport a range of data sources using NVivo's integrated toolsCode and classify your dataFormat your data to take advantage of NVivo’s auto-coding abilityUse NVivo to discover new themes and trends in researchVisualise relationships and trends in your dataPrerequisites:This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.For more information, please click here. 2022-02-25 09:30:00 UTC 2022-02-25 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python

    28 February - 1 March 2022

    Data Manipulation and Visualisation in Python https://staging.dresa.org.au/events/data-manipulation-and-visualisation-in-python-7d10f030-a1c1-4e8b-8e78-bc886ce923a9 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation).We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Working with pandas DataFramesIndexing, slicing and subsetting in pandas DataFramesMissing data valuesCombine multiple pandas DataFramesUsing the Grammar of Graphics to convert data into figures using the seaborn and matplotlib librariesConfiguring plot elements within seaborn and matplotlibExploring different types of plots using seabornPrerequisites:Either Learn to Program: Python or Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course.For more information, please click here. 2022-02-28 13:00:00 UTC 2022-03-01 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python

    28 February - 1 March 2022

    Learn to Program: Python https://staging.dresa.org.au/events/learn-to-program-python Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Introduction to the JupyterLab interface for programmingBasic syntax and data types in PythonHow to load external data into PythonCreating functions (FUNCTIONS)Repeating actions and anylsing multiple data sets (LOOPS)Making choices (IF STATEMENTS - CONDITIONALS)Ways to visualise data in PythonPrerequisites:No prior experience with programming needed to attend this course.We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found here.For more information, please click here. 2022-02-28 13:30:00 UTC 2022-03-01 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS

    28 February - 1 March 2022

    Data Entry and Processing in SPSS https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-bb94e1a1-6e35-4dc5-841e-2da1bbdebcf9 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization.This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills.You'll learn:Navigate the SPSS working environmentPrepare data files and define variablesEnter data in SPSS and Import data from ExcelPerform data screeningCompose SPSS Syntax for data processingObtain descriptive statistics, create graphs & assess normalityManipulate and transform variablesPrerequisites:The course has no prerequisites.For more information, please click here. 2022-02-28 13:30:00 UTC 2022-03-01 16:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics

    1 March 2022

    Unix Shell and Command Line Basics https://staging.dresa.org.au/events/unix-shell-and-command-line-basics The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line.Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run.We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments.You'll learn:Navigate and work with files and directories (folders)Use a selection of essential toolsCombine data and tools to build a processing workflowAutomate repetitive analysis using the command linePrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-01 09:30:00 UTC 2022-03-01 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in Python

    1 March 2022

    Data Manipulation in Python https://staging.dresa.org.au/events/data-manipulation-in-python Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets.We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Working with pandas DataFramesIndexing, slicing and subsetting in pandas DataFramesMissing data valuesCombine multiple pandas DataFramesPrerequisites:Either Learn to Program: Python or Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course.For more information, please click here. 2022-03-01 10:00:00 UTC 2022-03-01 14:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Version Control with Git

    2 March 2022

    Version Control with Git https://staging.dresa.org.au/events/version-control-with-git Have you mistakenly overwritten programs or data and want to learn techniques to avoid repeating the loss? Version control systems are one of the most powerful tools available for avoiding data loss and enabling reproducible research. While the learning curve can be steep, our trainers are there to answer all your questions while you gain hands on experience in using Git, one of the most popular version control systems available.Join us for this workshop where we cover the fundamentals of version control using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:keep versions of data, scripts, and other filesexamine commit logs to find which files were changed whenrestore earlier versions of filescompare changes between versions of a filepush your versioned files to a remote location, for backup and to facilitate collaborationPrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-02 09:30:00 UTC 2022-03-02 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap

    2 March 2022

    Data Capture and Surveys with REDCap https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-ff3fad79-1000-4fc2-93f8-7d0e50c16b36 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you.This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs.You'll learn:Get started with REDCapCreate and set up projectsDesign forms and surveys using the online designerDefine basic branching logicEnter data and distribute surveysSet up basic longitudinal projectsPrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-02 10:00:00 UTC 2022-03-02 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Traversing t tests in R

    2 March 2022

    Traversing t tests in R https://staging.dresa.org.au/events/traversing-t-tests-in-r R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R.You'll learn:Read in and manipulate dataCheck assumptions of t testsPerform one-sample t testsPerform two-sample t tests (Independent-samples, Paired-samples)Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test)Prerequisites:This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect's following courses to get up to speed:Learn to Program: RData Manipulation and Visualisation in RFor more information, please click here. 2022-03-02 13:30:00 UTC 2022-03-02 16:30:00 UTC Intersect Australia Australia Australia Open training@intersect.org.au [] [] [] by_invitation []

  • Data Manipulation in Python at UNSW Online

    2 March 2022

    Data Manipulation in Python at UNSW Online https://staging.dresa.org.au/events/data-manipulation-in-python-at-unsw-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. ### You'll learn: * Working with pandas DataFrames * Indexing, slicing and subsetting in pandas DataFrames * Missing data values * Combine multiple pandas DataFrames For more information and pre-requisites, please click [https://intersect.org.au/training/course/python201](here). 2022-03-02 13:30:00 UTC 2022-03-02 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in Python at UNSW Online

    3 March 2022

    Data Visualisation in Python at UNSW Online https://staging.dresa.org.au/events/data-visualisation-in-python-at-unsw-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either Learn to Program: Python or Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the Data Manipulation in Python course. **For more information, please click [here](https://intersect.org.au/training/course/python202).** 2022-03-03 09:30:00 UTC 2022-03-03 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at Deakin Online

    3 March 2022

    Data Manipulation in R at Deakin Online https://staging.dresa.org.au/events/data-manipulation-in-r-at-deakin-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-03-03 09:30:00 UTC 2022-03-03 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Longitudinal Trials with REDCap at UC Online

    3 March 2022

    Longitudinal Trials with REDCap at UC Online https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-at-uc-online REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our course REDCAP101: Data Capture and Surveys with REDCap. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-03-03 13:30:00 UTC 2022-03-03 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at LTU Online

    4 March 2022

    Getting started with NVivo for Windows at LTU Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-ltu-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-04 10:00:00 UTC 2022-03-04 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Exploring ANOVAs in R

    5 March 2022

    Exploring ANOVAs in R https://staging.dresa.org.au/events/exploring-anovas-in-r R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.This half-day course covers one and two-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R. To better understand the tests, assumptions and associated concepts, we will be using a dataset containing the Mathematics scores of secondary students. This dataset also includes information regarding their mother's and father's jobs and education levels, the number of hours dedicated to study, and time spent commuting to and from school. Lifestyle information about alcohol consumption habits, whether the students have quality relationships with their families and whether they have free time after school is included in this dataset.You'll learn:Basic statistical theory behind ANOVAsHow to check that the data meets the assumptionsOne-way ANOVA in R and post-hoc analysisTwo-way ANOVA plus interaction effects and post-hoc analysisNon-parametric alternatives to one and two-way ANOVAced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R.Prerequisites:This course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required.If you’re new to programming in R, we strongly recommend you register for the Learn to Program: R, Data Manipulation in R, and Data Visualisation in R workshops first. Please see Intersect’s training schedule to find the next upcoming courses.For more information, please click here. 2022-03-05 09:30:00 UTC 2022-03-05 12:30:00 UTC Intersect Australia Australia Australia Open training@intersect.org.au [] [] [] by_invitation []

  • Longitudinal Trials with REDCap

    6 March 2022

    Longitudinal Trials with REDCap https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-1a40fb08-0584-4d25-93e1-3cf16cdee65c REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration.This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap.You'll learn:Build a longitudinal projectManage participants throughout multiple eventsConfigure and use Automated Survey InvitationsUse Smart Variables to add powerful features to your logicTake advantage of high-granularity permissions for your collaboratorsUnderstand the data structure of a longitudinal projectPrerequisites:This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our course REDCAP101: Data Capture and Surveys with REDCap.For more information, please click here. 2022-03-06 10:00:00 UTC 2022-03-06 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows

    6 March 2022

    Getting started with NVivo for Windows https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers.NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner.You'll learn:Create and organise a qualitative research project in NVivoImport a range of data sources using NVivo's integrated toolsCode and classify your dataFormat your data to take advantage of NVivo’s auto-coding abilityUse NVivo to discover new themes and trends in researchVisualise relationships and trends in your dataPrerequisites:This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.For more information, please click here. 2022-03-06 13:30:00 UTC 2022-03-06 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers

    7 - 8 March 2022

    Excel for Researchers https://staging.dresa.org.au/events/excel-for-researchers-981c46b5-9a42-4a45-bd4d-665973f91ea2 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.You'll learn:'Clean up’ messy research dataOrganise, format and name your dataInterpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)Perform calculations on your data using functions (MAX, MIN, AVERAGE)Extract significant findings from your data (PIVOT TABLE, VLOOKUP)Manipulate your data (convert data format, work with DATES and TIMES)Create graphs and charts to visualise your data (CHARTS)Handy tips to speed up your workPrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-07 09:30:00 UTC 2022-03-08 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at ACU Online

    8 March 2022

    Data Capture and Surveys with REDCap at ACU Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-acu-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-08 10:00:00 UTC 2022-03-08 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at Deakin Online

    9 March 2022

    Data Visualisation in R at Deakin Online https://staging.dresa.org.au/events/data-visualisation-in-r-at-deakin-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-09 09:30:00 UTC 2022-03-09 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Longitudinal Trials with REDCap at ACU Online

    9 March 2022

    Longitudinal Trials with REDCap at ACU Online https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-at-acu-online REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our course REDCAP101: Data Capture and Surveys with REDCap. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-03-09 10:00:00 UTC 2022-03-09 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at UNSW Online

    9 March 2022

    Data Manipulation in R at UNSW Online https://staging.dresa.org.au/events/data-manipulation-in-r-at-unsw-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UC Online

    9 - 10 March 2022

    Excel for Researchers at UC Online https://staging.dresa.org.au/events/excel-for-researchers-at-uc-online Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-09 13:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at UOA Online

    9 March 2022

    Unix Shell and Command Line Basics at UOA Online https://staging.dresa.org.au/events/unix-shell-and-command-line-basics-at-uoa-online The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments. #### You'll learn: - Navigate and work with files and directories (folders) - Use a selection of essential tools - Combine data and tools to build a processing workflow - Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/unix101).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at UNSW Online

    10 March 2022

    Data Visualisation in R at UNSW Online https://staging.dresa.org.au/events/data-visualisation-in-r-at-unsw-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-10 09:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at USYD Online

    15 - 16 July 2021

    Excel for Researchers at USYD Online https://staging.dresa.org.au/events/excel-for-researchers-at-usyd-online ## About this course Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. 2021-07-15 09:30:00 UTC 2021-07-16 12:30:00 UTC Intersect Australia University of Sydney Intersect Training: training@intersect.org.au [] [] 30 workshop host_institution Exceldata wranglingPivot tablesdata visualisation

  • Longitudinal Trials with REDCap at Intersect Online

    6 September 2021

    Longitudinal Trials with REDCap at Intersect Online https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-at-intersect-online ## About this course REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. 2021-09-06 09:30:00 UTC 2021-09-06 12:30:00 UTC Intersect Australia Sydney, Australia Sydney Australia Intersect Intersect Training: training@intersect.org.au [] ResearchersHDR studentsAcademicsProfessional Staff 25 workshop open_to_all REDCapLongitudinal project

  • Data Capture and Surveys with REDCap at Intersect Online

    13 September 2021

    Data Capture and Surveys with REDCap at Intersect Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-intersect-online ## About this course REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. 2021-09-13 09:30:00 UTC 2021-09-13 12:30:00 UTC Intersect Australia Across Australia, Australia Across Australia Australia IntersectIntersect Intersect Training: training@intersect.org.au [] ResearchersHDR studentsAcademicsProfessional Staff 25 workshop open_to_all REDCapprogramming

  • Excel for Researchers

    23 - 24 February 2022

    Excel for Researchers https://staging.dresa.org.au/events/excel-for-researchers Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.You'll learn:'Clean up’ messy research dataOrganise, format and name your dataInterpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)Perform calculations on your data using functions (MAX, MIN, AVERAGE)Extract significant findings from your data (PIVOT TABLE, VLOOKUP)Manipulate your data (convert data format, work with DATES and TIMES)Create graphs and charts to visualise your data (CHARTS)Handy tips to speed up your workPrerequisites:The course has no prerequisites.For more information, please click here. 2022-02-23 13:30:00 UTC 2022-02-24 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python

    24 - 25 February 2022

    Learn to Program: Python https://staging.dresa.org.au/events/learn-to-program-python-1d664f3e-97db-4483-92d7-fcdaad8074fa Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Introduction to the JupyterLab interface for programmingBasic syntax and data types in PythonHow to load external data into PythonCreating functions (FUNCTIONS)Repeating actions and anylsing multiple data sets (LOOPS)Making choices (IF STATEMENTS - CONDITIONALS)Ways to visualise data in PythonPrerequisites:No prior experience with programming needed to attend this course.We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found here.For more information, please click here. 2022-02-24 10:00:00 UTC 2022-02-25 14:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows

    25 February 2022

    Getting started with NVivo for Windows https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-d287a9d5-d64c-4b7c-835d-4c991df0ccf0 Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers.NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner.You'll learn:Create and organise a qualitative research project in NVivoImport a range of data sources using NVivo's integrated toolsCode and classify your dataFormat your data to take advantage of NVivo’s auto-coding abilityUse NVivo to discover new themes and trends in researchVisualise relationships and trends in your dataPrerequisites:This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.For more information, please click here. 2022-02-25 09:30:00 UTC 2022-02-25 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python

    28 February - 1 March 2022

    Data Manipulation and Visualisation in Python https://staging.dresa.org.au/events/data-manipulation-and-visualisation-in-python-7d10f030-a1c1-4e8b-8e78-bc886ce923a9 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation).We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Working with pandas DataFramesIndexing, slicing and subsetting in pandas DataFramesMissing data valuesCombine multiple pandas DataFramesUsing the Grammar of Graphics to convert data into figures using the seaborn and matplotlib librariesConfiguring plot elements within seaborn and matplotlibExploring different types of plots using seabornPrerequisites:Either Learn to Program: Python or Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course.For more information, please click here. 2022-02-28 13:00:00 UTC 2022-03-01 16:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python

    28 February - 1 March 2022

    Learn to Program: Python https://staging.dresa.org.au/events/learn-to-program-python Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Introduction to the JupyterLab interface for programmingBasic syntax and data types in PythonHow to load external data into PythonCreating functions (FUNCTIONS)Repeating actions and anylsing multiple data sets (LOOPS)Making choices (IF STATEMENTS - CONDITIONALS)Ways to visualise data in PythonPrerequisites:No prior experience with programming needed to attend this course.We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found here.For more information, please click here. 2022-02-28 13:30:00 UTC 2022-03-01 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS

    28 February - 1 March 2022

    Data Entry and Processing in SPSS https://staging.dresa.org.au/events/data-entry-and-processing-in-spss-bb94e1a1-6e35-4dc5-841e-2da1bbdebcf9 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization.This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills.You'll learn:Navigate the SPSS working environmentPrepare data files and define variablesEnter data in SPSS and Import data from ExcelPerform data screeningCompose SPSS Syntax for data processingObtain descriptive statistics, create graphs & assess normalityManipulate and transform variablesPrerequisites:The course has no prerequisites.For more information, please click here. 2022-02-28 13:30:00 UTC 2022-03-01 16:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics

    1 March 2022

    Unix Shell and Command Line Basics https://staging.dresa.org.au/events/unix-shell-and-command-line-basics The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line.Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run.We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments.You'll learn:Navigate and work with files and directories (folders)Use a selection of essential toolsCombine data and tools to build a processing workflowAutomate repetitive analysis using the command linePrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-01 09:30:00 UTC 2022-03-01 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in Python

    1 March 2022

    Data Manipulation in Python https://staging.dresa.org.au/events/data-manipulation-in-python Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets.We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:Working with pandas DataFramesIndexing, slicing and subsetting in pandas DataFramesMissing data valuesCombine multiple pandas DataFramesPrerequisites:Either Learn to Program: Python or Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course.For more information, please click here. 2022-03-01 10:00:00 UTC 2022-03-01 14:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Version Control with Git

    2 March 2022

    Version Control with Git https://staging.dresa.org.au/events/version-control-with-git Have you mistakenly overwritten programs or data and want to learn techniques to avoid repeating the loss? Version control systems are one of the most powerful tools available for avoiding data loss and enabling reproducible research. While the learning curve can be steep, our trainers are there to answer all your questions while you gain hands on experience in using Git, one of the most popular version control systems available.Join us for this workshop where we cover the fundamentals of version control using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.You'll learn:keep versions of data, scripts, and other filesexamine commit logs to find which files were changed whenrestore earlier versions of filescompare changes between versions of a filepush your versioned files to a remote location, for backup and to facilitate collaborationPrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-02 09:30:00 UTC 2022-03-02 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap

    2 March 2022

    Data Capture and Surveys with REDCap https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-ff3fad79-1000-4fc2-93f8-7d0e50c16b36 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you.This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs.You'll learn:Get started with REDCapCreate and set up projectsDesign forms and surveys using the online designerDefine basic branching logicEnter data and distribute surveysSet up basic longitudinal projectsPrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-02 10:00:00 UTC 2022-03-02 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Traversing t tests in R

    2 March 2022

    Traversing t tests in R https://staging.dresa.org.au/events/traversing-t-tests-in-r R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R.You'll learn:Read in and manipulate dataCheck assumptions of t testsPerform one-sample t testsPerform two-sample t tests (Independent-samples, Paired-samples)Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test)Prerequisites:This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect's following courses to get up to speed:Learn to Program: RData Manipulation and Visualisation in RFor more information, please click here. 2022-03-02 13:30:00 UTC 2022-03-02 16:30:00 UTC Intersect Australia Australia Australia Open training@intersect.org.au [] [] [] by_invitation []

  • Data Manipulation in Python at UNSW Online

    2 March 2022

    Data Manipulation in Python at UNSW Online https://staging.dresa.org.au/events/data-manipulation-in-python-at-unsw-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. ### You'll learn: * Working with pandas DataFrames * Indexing, slicing and subsetting in pandas DataFrames * Missing data values * Combine multiple pandas DataFrames For more information and pre-requisites, please click [https://intersect.org.au/training/course/python201](here). 2022-03-02 13:30:00 UTC 2022-03-02 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in Python at UNSW Online

    3 March 2022

    Data Visualisation in Python at UNSW Online https://staging.dresa.org.au/events/data-visualisation-in-python-at-unsw-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either Learn to Program: Python or Learn to Program: Python and Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the Data Manipulation in Python course. **For more information, please click [here](https://intersect.org.au/training/course/python202).** 2022-03-03 09:30:00 UTC 2022-03-03 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at Deakin Online

    3 March 2022

    Data Manipulation in R at Deakin Online https://staging.dresa.org.au/events/data-manipulation-in-r-at-deakin-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-03-03 09:30:00 UTC 2022-03-03 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Longitudinal Trials with REDCap at UC Online

    3 March 2022

    Longitudinal Trials with REDCap at UC Online https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-at-uc-online REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our course REDCAP101: Data Capture and Surveys with REDCap. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-03-03 13:30:00 UTC 2022-03-03 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at LTU Online

    4 March 2022

    Getting started with NVivo for Windows at LTU Online https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows-at-ltu-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-03-04 10:00:00 UTC 2022-03-04 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Exploring ANOVAs in R

    5 March 2022

    Exploring ANOVAs in R https://staging.dresa.org.au/events/exploring-anovas-in-r R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.This half-day course covers one and two-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R. To better understand the tests, assumptions and associated concepts, we will be using a dataset containing the Mathematics scores of secondary students. This dataset also includes information regarding their mother's and father's jobs and education levels, the number of hours dedicated to study, and time spent commuting to and from school. Lifestyle information about alcohol consumption habits, whether the students have quality relationships with their families and whether they have free time after school is included in this dataset.You'll learn:Basic statistical theory behind ANOVAsHow to check that the data meets the assumptionsOne-way ANOVA in R and post-hoc analysisTwo-way ANOVA plus interaction effects and post-hoc analysisNon-parametric alternatives to one and two-way ANOVAced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R.Prerequisites:This course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required.If you’re new to programming in R, we strongly recommend you register for the Learn to Program: R, Data Manipulation in R, and Data Visualisation in R workshops first. Please see Intersect’s training schedule to find the next upcoming courses.For more information, please click here. 2022-03-05 09:30:00 UTC 2022-03-05 12:30:00 UTC Intersect Australia Australia Australia Open training@intersect.org.au [] [] [] by_invitation []

  • Longitudinal Trials with REDCap

    6 March 2022

    Longitudinal Trials with REDCap https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-1a40fb08-0584-4d25-93e1-3cf16cdee65c REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration.This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap.You'll learn:Build a longitudinal projectManage participants throughout multiple eventsConfigure and use Automated Survey InvitationsUse Smart Variables to add powerful features to your logicTake advantage of high-granularity permissions for your collaboratorsUnderstand the data structure of a longitudinal projectPrerequisites:This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our course REDCAP101: Data Capture and Surveys with REDCap.For more information, please click here. 2022-03-06 10:00:00 UTC 2022-03-06 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows

    6 March 2022

    Getting started with NVivo for Windows https://staging.dresa.org.au/events/getting-started-with-nvivo-for-windows Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers.NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner.You'll learn:Create and organise a qualitative research project in NVivoImport a range of data sources using NVivo's integrated toolsCode and classify your dataFormat your data to take advantage of NVivo’s auto-coding abilityUse NVivo to discover new themes and trends in researchVisualise relationships and trends in your dataPrerequisites:This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.For more information, please click here. 2022-03-06 13:30:00 UTC 2022-03-06 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers

    7 - 8 March 2022

    Excel for Researchers https://staging.dresa.org.au/events/excel-for-researchers-981c46b5-9a42-4a45-bd4d-665973f91ea2 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.You'll learn:'Clean up’ messy research dataOrganise, format and name your dataInterpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)Perform calculations on your data using functions (MAX, MIN, AVERAGE)Extract significant findings from your data (PIVOT TABLE, VLOOKUP)Manipulate your data (convert data format, work with DATES and TIMES)Create graphs and charts to visualise your data (CHARTS)Handy tips to speed up your workPrerequisites:The course has no prerequisites.For more information, please click here. 2022-03-07 09:30:00 UTC 2022-03-08 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at ACU Online

    8 March 2022

    Data Capture and Surveys with REDCap at ACU Online https://staging.dresa.org.au/events/data-capture-and-surveys-with-redcap-at-acu-online Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Define basic branching logic - Enter data and distribute surveys - Set up basic longitudinal projects #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-03-08 10:00:00 UTC 2022-03-08 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at Deakin Online

    9 March 2022

    Data Visualisation in R at Deakin Online https://staging.dresa.org.au/events/data-visualisation-in-r-at-deakin-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-09 09:30:00 UTC 2022-03-09 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Longitudinal Trials with REDCap at ACU Online

    9 March 2022

    Longitudinal Trials with REDCap at ACU Online https://staging.dresa.org.au/events/longitudinal-trials-with-redcap-at-acu-online REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our course REDCAP101: Data Capture and Surveys with REDCap. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-03-09 10:00:00 UTC 2022-03-09 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at UNSW Online

    9 March 2022

    Data Manipulation in R at UNSW Online https://staging.dresa.org.au/events/data-manipulation-in-r-at-unsw-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UC Online

    9 - 10 March 2022

    Excel for Researchers at UC Online https://staging.dresa.org.au/events/excel-for-researchers-at-uc-online Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-03-09 13:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at UOA Online

    9 March 2022

    Unix Shell and Command Line Basics at UOA Online https://staging.dresa.org.au/events/unix-shell-and-command-line-basics-at-uoa-online The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments. #### You'll learn: - Navigate and work with files and directories (folders) - Use a selection of essential tools - Combine data and tools to build a processing workflow - Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/unix101).** 2022-03-09 13:30:00 UTC 2022-03-09 16:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at UNSW Online

    10 March 2022

    Data Visualisation in R at UNSW Online https://staging.dresa.org.au/events/data-visualisation-in-r-at-unsw-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the Data Manipulation in R course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-03-10 09:30:00 UTC 2022-03-10 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

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