[{"id":831,"external_id":null,"title":"Introduction to Programming: Plotting and Programming with Python","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/plotting-and-programming-with-python/","organizer":"QCIF","description":"This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity.","start":"2024-11-18T09:00:00.000Z","end":"2024-11-21T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-29T06:49:15.591Z","updated_at":"2024-10-03T14:00:34.108Z","source":"tess","slug":"introduction-to-programming-plotting-and-programming-with-python-9b6a73c4-76ca-428b-a716-15ab4cfdebc1","content_provider_id":23,"user_id":43,"online":true,"last_scraped":"2024-10-03","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":"A familiarity with command-line interfaces will be helpful, but is not required","tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1006,"external_id":null,"title":"Introduction to Programming: Plotting and Programming with Python","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/introduction-to-programming%3A-plotting-and-programming-with-python/","organizer":"QCIF","description":"This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity.","start":"2024-11-18T09:00:00.000Z","end":"2024-11-21T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-04T14:00:15.931Z","updated_at":"2024-11-20T14:00:44.537Z","source":"tess","slug":"introduction-to-programming-plotting-and-programming-with-python-2fbb4c68-eef7-4229-9856-638b9f2e1ecb","content_provider_id":9,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":"A familiarity with command-line interfaces will be helpful, but is not required","tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1082,"external_id":null,"title":"Learn to Program: R at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.  \n  \n But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in.  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.\n\n#### You'll learn:\n\nIntroduction to the RStudio interface for programming  \n Basic syntax and data types in R  \n How to load external data into R  \n Creating functions (FUNCTIONS)  \n Repeating actions and analysing multiple data sets (LOOPS)  \n Making choices (IF STATEMENTS – CONDITIONALS)  \n Ways to visualise data in R\n\n#### Prerequisites:\n\nNo prior experience with programming needed to attend this course.  \n  \n 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\\.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r101).","start":"2024-11-20T10:00:00.000Z","end":"2024-11-21T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-11-13T14:00:12.861Z","updated_at":"2024-11-20T14:00:54.597Z","source":"tess","slug":"learn-to-program-r-at-ltu-online-6cb03ccd-dda7-4ec9-ae09-279037f72bc2","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":721,"external_id":null,"title":"Introduction to Machine Learning using R: Classification at UOA Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use R and its relevant packages to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\n\\\\Either \\Learn to Program: R\\ and \\Data Manipulation in R\\ or \\Learn to Program: R\\ and \\Data Manipulation and Visualisation in R\\needed to attend this course. If you already have experience with programming, please check the topics covered in courses above and \\Introduction to ML using R: Introduction \u0026amp; Linear Regression\\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\\\\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r206).","start":"2024-11-21T09:30:00.000Z","end":"2024-11-22T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:44.298Z","updated_at":"2024-11-20T14:00:55.200Z","source":"tess","slug":"introduction-to-machine-learning-using-r-classification-at-uoa-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1079,"external_id":null,"title":"Surveying with Qualtrics at UTS Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics?  \n  \n Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents.  \n  \n If your institution has a licence to Qualtrics, then this course is right for you.\n\n#### You'll learn:\n\nFormat a sample survey using the Qualtrics online platform  \n Configure the survey using a range of design features to improve user experience  \n Decide which distribution channel is right for your needs  \n Understand the available data analysis and export options in Qualtrics\n\n#### Prerequisites:\n\nYou must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/qltrics101).","start":"2024-11-21T09:30:00.000Z","end":"2024-11-21T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-28T14:00:38.639Z","updated_at":"2024-11-20T14:00:55.614Z","source":"tess","slug":"surveying-with-qualtrics-at-uts-online-93447a13-67b2-4535-95ab-6e3c245a11e6","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":925,"external_id":null,"title":"Introduction to Surveying with Qualtrics at ACU","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics?  \n  \n Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents.  \n  \n If your institution has a licence to Qualtrics, then this course is right for you.\n\n#### You'll learn:\n\nFormat a sample survey using the Qualtrics online platform  \n Configure the survey using a range of design features to improve user experience  \n Decide which distribution channel is right for your needs  \n Understand the available data analysis and export options in Qualtrics\n\n#### Prerequisites:\n\nYou must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/qltrics101).","start":"2024-11-22T09:30:00.000Z","end":"2024-11-22T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-05T14:00:27.002Z","updated_at":"2024-11-20T14:00:55.418Z","source":"tess","slug":"introduction-to-surveying-with-qualtrics-at-acu-0d484bc8-740e-4183-8d5d-859eef52e5fc","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":771,"external_id":null,"title":"Introduction to Research Data Management at WSU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how?  \n  \n This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.\n\n#### You'll learn:\n\nHow to manage research data according to legal, statutory, ethical, funding body and university requirements  \n Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data  \n Services supporting research data at your institution\n\n#### Prerequisites:\n\nThe course has no prerequisites.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/rdmt001).","start":"2024-11-22T10:00:00.000Z","end":"2024-11-22T12:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-25T06:17:12.267Z","updated_at":"2024-11-20T14:00:56.365Z","source":"tess","slug":"introduction-to-research-data-management-at-wsu-online-086e92ce-0193-404f-8751-0c675988b74a","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":853,"external_id":null,"title":"Introduction to the Unix Shell","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/introduction-to-unix/","organizer":"QCIF","description":"The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively.","start":"2024-11-25T09:00:00.000Z","end":"2024-11-26T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-29T06:49:19.357Z","updated_at":"2024-10-03T14:00:35.771Z","source":"tess","slug":"introduction-to-the-unix-shell-947c4ea8-990b-4192-9069-54acc650d2a6","content_provider_id":23,"user_id":43,"online":true,"last_scraped":"2024-10-03","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":null,"tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1028,"external_id":null,"title":"Introduction to the Unix Shell","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/introduction-to-unix/","organizer":"QCIF","description":"The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively.","start":"2024-11-25T09:00:00.000Z","end":"2024-11-26T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-04T14:00:16.734Z","updated_at":"2024-11-20T14:00:47.978Z","source":"tess","slug":"introduction-to-the-unix-shell-5f49a334-d52c-4799-ac3c-acac7918a664","content_provider_id":9,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":null,"tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1081,"external_id":null,"title":"Surveying with Qualtrics at UNE Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics?  \n  \n Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents.  \n  \n If your institution has a licence to Qualtrics, then this course is right for you.\n\n#### You'll learn:\n\nFormat a sample survey using the Qualtrics online platform  \n Configure the survey using a range of design features to improve user experience  \n Decide which distribution channel is right for your needs  \n Understand the available data analysis and export options in Qualtrics\n\n#### Prerequisites:\n\nYou must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/qltrics101).","start":"2024-11-26T09:30:00.000Z","end":"2024-11-26T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-31T14:00:40.265Z","updated_at":"2024-11-20T14:00:55.924Z","source":"tess","slug":"surveying-with-qualtrics-at-une-online-9aa3ed9e-b318-4db7-b5ec-fd43d5aaf6ab","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":694,"external_id":null,"title":"Introduction to Machine Learning using R: Classification at La Trobe Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages.\n\n#### You'll learn:\n\n- Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.\n- Know the differences between various core Machine Learning models.\n- Understand the Machine Learning modelling workflows.\n- Use R and its relevant packages to process real datasets, train and apply Machine Learning models\n\n#### Prerequisites:\n\n- Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation in R](https://intersect.org.au/training/course/r201/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/)needed to attend this course. If you already have experience with programming, please check the topics covered in courses above and [Introduction to ML using R: Introduction \u0026amp; Linear Regression](https://intersect.org.au/training/course/r205/) to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\n- Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\n\n#### Why do this course:\n\n- Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources.\n- It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning.\n- We do have applications on real datasets!\n- Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects.\n- Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning.\n\nFor a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using R workshops:\n\n- Introduction to Machine Learning using R: Introduction \u0026amp; Linear Regression\n- Introduction to Machine Learning using R: Classification\n- Introduction to Machine Learning using R: SVM \u0026amp; Unsupervised Learning\n  \n  \n  \n**For more information, please click [here](https://intersect.org.au/training/course/r206).**","start":"2024-11-26T10:00:00.000Z","end":"2024-11-27T13:00:00.000Z","sponsors":[],"venue":"","city":"","country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:41.874Z","updated_at":"2024-07-24T14:00:46.978Z","source":"tess","slug":"introduction-to-machine-learning-using-r-classification-at-la-trobe-online-0807aecd-e430-488f-a0d5-82e4a60e03da","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-24","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["LTU"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":849,"external_id":null,"title":"Introduction to SPSS","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/introduction-to-spss/","organizer":"QCIF","description":"This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. 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Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS.","start":"2024-11-27T09:00:00.000Z","end":"2024-11-27T17:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-04T14:00:16.620Z","updated_at":"2024-11-20T14:00:47.293Z","source":"tess","slug":"introduction-to-spss-4203daf3-255a-45ad-9c44-fb5056c70f28","content_provider_id":9,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":null,"tech_requirements":"Attendees must provide their own SPSS licence","cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":950,"external_id":null,"title":"Data Entry, Exploration, \u0026 Analysis in SPSS at DU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\n- Navigate SPSS Variable and Data views.\n- Create and describe data from scratch.\n- Import Data from Excel.\n- Familiarise yourself with exploratory data analysis (EDA), including: \n  - Understand variable types, identity missing data and outliers.\n  - Visualise data in graphs and tables.\n- Compose SPSS Syntax to repeat and store analysis steps.\n- Generate a report testing assumptions of statistical tests.\n- Additional exercises:\n- Check assumptions for common statistical tests.\n- Make stunning plots.\n\n#### Prerequisites:\n\nIn order to participate, attendees must have a licensed copy of SPSS installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/spss101).","start":"2024-11-27T09:30:00.000Z","end":"2024-11-28T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-05T14:00:34.443Z","updated_at":"2024-11-20T14:00:56.083Z","source":"tess","slug":"data-entry-exploration-analysis-in-spss-at-du-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":722,"external_id":null,"title":"Introduction to Machine Learning using R: SVM \u0026 Unsupervised Learning at UOA Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages.\n\n#### You'll learn:\n\nComprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction.  \n Know the differences between various core Machine Learning models.  \n Understand the Machine Learning modelling workflows.  \n Use R and its relevant packages to process real datasets, train and apply Machine Learning models.\n\n#### Prerequisites:\n\n\\\\Either \\Learn to Program: R\\ and \\Data Manipulation in R\\ or \\Learn to Program: R\\ and \\Data Manipulation and Visualisation in R\\needed to attend this course. If you already have experience with programming, please check the topics covered in the courses above and \\Introduction to ML using R: Introduction \u0026amp; Linear Regression\\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\\\\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r207).","start":"2024-11-27T09:30:00.000Z","end":"2024-11-27T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:44.414Z","updated_at":"2024-11-20T14:00:56.807Z","source":"tess","slug":"introduction-to-machine-learning-using-r-svm-unsupervised-learning-at-uoa-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":970,"external_id":null,"title":"Beyond Basics: Conditionals and Visualisation in Excel at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"After cleaning your dataset, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project.\n\n#### You'll learn:\n\n- Cell syntax and conditional formatting\n- IF functions\n- Pivot Table summaries\n- Nesting multiple AND/IF/OR calculations\n- Combining nested calculations with conditional formatting to bring out important elements of the dataset\n- MINIFS function\n- Box plot creation and outlier identification\n- Trendline and error bar chart enhancements\n\n#### Prerequisites:\n\nFamiliarity with the content of Excel for Researchers, specifically: \n\n- the general Office/Excel interface (menus, ribbons/toolbars, etc.)\n- workbooks and worksheets\n- absolute and relative references, e.g. $A$1, A1.\n- simple ranges, e.g. A1:B5\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/excel201).","start":"2024-11-27T10:00:00.000Z","end":"2024-11-27T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-02T14:00:34.435Z","updated_at":"2024-11-20T14:00:56.441Z","source":"tess","slug":"beyond-basics-conditionals-and-visualisation-in-excel-at-ltu-online-f91eeba5-455f-4912-ae01-a44c1c01a19a","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1075,"external_id":null,"title":"Beyond Basics: Conditionals and Visualisation in Excel at WSU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"After cleaning your dataset, you may need to apply some conditional analysis to glean greater insights from your data. You may also want to enhance your charts for inclusion into a manuscript, thesis or report by adding some statistical elements. This course will cover conditional syntax, nested functions, statistical charting and outlier identification. Armed with the tips and tricks from our introductory Excel for Researchers course, you will be able to tap into even more of Excel’s diverse functionality and apply it to your research project.\n\n#### You'll learn:\n\n- Cell syntax and conditional formatting\n- IF functions\n- Pivot Table summaries\n- Nesting multiple AND/IF/OR calculations\n- Combining nested calculations with conditional formatting to bring out important elements of the dataset\n- MINIFS function\n- Box plot creation and outlier identification\n- Trendline and error bar chart enhancements\n\n#### Prerequisites:\n\nFamiliarity with the content of Excel for Researchers, specifically: \n\n- the general Office/Excel interface (menus, ribbons/toolbars, etc.)\n- workbooks and worksheets\n- absolute and relative references, e.g. $A$1, A1.\n- simple ranges, e.g. A1:B5\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/excel201).","start":"2024-11-27T10:00:00.000Z","end":"2024-11-27T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-15T14:00:21.272Z","updated_at":"2024-11-20T14:00:56.869Z","source":"tess","slug":"beyond-basics-conditionals-and-visualisation-in-excel-at-wsu-online","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1080,"external_id":null,"title":"Data Capture and Surveys with REDCap at UTS Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nGet started with REDCap  \n Create and set up projects  \n Design forms and surveys using the online designer  \n Learn how to use branching logic, piping, and calculations  \n Enter data via forms and distribute surveys  \n Create, view and export data reports  \n Add collaborators and set their privileges\n\n#### Prerequisites:\n\nThe course has no prerequisites.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/redcap101).","start":"2024-11-29T09:30:00.000Z","end":"2024-11-29T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-28T14:00:41.553Z","updated_at":"2024-11-20T14:00:56.594Z","source":"tess","slug":"data-capture-and-surveys-with-redcap-at-uts-online-91f3c439-83ad-44fd-a2a6-6ba0eb3462dc","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":888,"external_id":null,"title":"Statistical Comparisons Using R","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/statistics-for-comparisons/","organizer":"QCIF","description":"This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 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Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. ","start":"2024-12-02T09:00:00.000Z","end":"2024-12-03T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-04T14:00:18.266Z","updated_at":"2024-11-20T14:00:52.856Z","source":"tess","slug":"statistical-comparisons-using-r-ed9e0029-12e6-44ae-9df3-fb4eda500802","content_provider_id":9,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":"Prior knowledge of R is required as the basics of R will not be covered","tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":938,"external_id":null,"title":"Getting started with NVivo for Windows at ACU","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"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.  \n  \n 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.\n\n#### You'll learn:\n\nCreate and organise a qualitative research project in NVivo  \n Import a range of data sources using NVivo’s integrated tools  \n Code and classify your data  \n Format your data to take advantage of NVivo’s auto-coding ability  \n Use NVivo to discover new themes and trends in research  \n Visualise relationships and trends in your data\n\n#### Prerequisites:\n\nIn order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.  \n  \n This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/nvivo101).","start":"2024-12-03T09:30:00.000Z","end":"2024-12-03T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-08-26T14:00:35.457Z","updated_at":"2024-11-20T14:00:55.348Z","source":"tess","slug":"getting-started-with-nvivo-for-windows-at-acu-3bd91c52-6560-46c5-93e6-6057f9c5b4a5","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":723,"external_id":null,"title":"Learn to Program: R at UOA Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.  \n  \n But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in.  \n  \n We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.  \n  \n Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.\n\n#### You'll learn:\n\nIntroduction to the RStudio interface for programming  \n Basic syntax and data types in R  \n How to load external data into R  \n Creating functions (FUNCTIONS)  \n Repeating actions and analysing multiple data sets (LOOPS)  \n Making choices (IF STATEMENTS – CONDITIONALS)  \n Ways to visualise data in R\n\n#### Prerequisites:\n\nNo prior experience with programming needed to attend this course.  \n  \n 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\\.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/r101).","start":"2024-12-03T09:30:00.000Z","end":"2024-12-04T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:44.440Z","updated_at":"2024-11-20T14:00:55.747Z","source":"tess","slug":"learn-to-program-r-at-uoa-online-84533568-32ee-4994-98ae-08bda58675e7","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":695,"external_id":null,"title":"Introduction to Machine Learning using Python: Classification at La Trobe Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries.\n\n#### You'll learn:\n\n- Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning.\n- Know the differences between various core Machine Learning models.\n- Understand the Machine Learning modelling workflows.\n- Use Python and scikit-learn to process real datasets, train and apply Machine Learning models\n\n#### Prerequisites:\n\nEither [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) and [Introduction to ML using Python: Introduction \u0026amp; Linear Regression](https://intersect.org.au/training/course/python205/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) and [Introduction to ML using Python: Introduction \u0026amp; Linear Regression](https://intersect.org.au/training/course/python205/) needed to attend this course.\n\nIf you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training.\n\nMaths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\n\n#### Why do this course:\n\n- Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources.\n- It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning.\n- We do have applications on real datasets!\n- Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects.\n- Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning.\n\nFor a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops:\n\n- Introduction to Machine Learning using Python: Introduction \u0026amp; Linear Regression\n- Introduction to Machine Learning using Python: Classification\n- Introduction to Machine Learning using Python: SVM \u0026amp; Unsupervised Learning\n  \n  \n  \n**For more information, please click [here](https://intersect.org.au/training/course/python206).**","start":"2024-12-03T10:00:00.000Z","end":"2024-12-04T13:00:00.000Z","sponsors":[],"venue":"","city":"","country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:41.902Z","updated_at":"2024-07-24T14:00:47.126Z","source":"tess","slug":"introduction-to-machine-learning-using-python-classification-at-la-trobe-online-fece4732-1f95-43ea-b0ca-9b79bdc40cb9","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-24","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["LTU"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":895,"external_id":null,"title":"Statistical Comparisons using SPSS","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/stat-comparisons-spss/","organizer":"QCIF","description":"This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. 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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.  \n  \n While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data.\n\n#### You'll learn:\n\n‘Clean up’ messy research data  \n Organise, format and name your data  \n Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING)  \n Perform calculations on your data using functions (MAX, MIN, AVERAGE)  \n Extract significant findings from your data (PIVOT TABLE, VLOOKUP)  \n Manipulate your data (convert data format, work with DATES and TIMES)  \n Create graphs and charts to visualise your data (CHARTS)  \n Handy tips to speed up your work\n\n#### Prerequisites:\n\nIn order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.  \n  \n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/excel101).","start":"2024-12-04T09:30:00.000Z","end":"2024-12-05T12:30:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-09-05T14:00:29.352Z","updated_at":"2024-11-20T14:00:54.137Z","source":"tess","slug":"excel-for-researchers-at-du-online-23031a6e-f615-424a-87cf-04fa8fd21841","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":1078,"external_id":null,"title":"Longitudinal Trials with REDCap at LTU Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration.  \n  \n 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.\n\n#### You'll learn:\n\nBuild a longitudinal project  \n Manage participants throughout multiple events  \n Configure and use Automated Survey Invitations  \n Use Smart Variables to add powerful features to your logic  \n Take advantage of high-granularity permissions for your collaborators  \n Understand the data structure of a longitudinal project\n\n#### Prerequisites:\n\nThis course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \\Data Capture and Surveys with REDCap\\ workshop.\n\n  \n  \n  \n  \nFor more information, please click [here](https://intersect.org.au/training/course/redcap201).","start":"2024-12-04T10:00:00.000Z","end":"2024-12-04T13:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-25T14:00:08.572Z","updated_at":"2024-11-20T14:00:55.038Z","source":"tess","slug":"longitudinal-trials-with-redcap-at-ltu-online-e030a79a-90fa-4ce9-b4c2-a8970bb0b2c9","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["Intersect Australia"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":816,"external_id":null,"title":"Exploring and Predicting using Linear Regression in R","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/exploring-and-predicting-using-linear-regression/","organizer":"QCIF","description":"This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R.","start":"2024-12-05T09:00:00.000Z","end":"2024-12-05T17:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-29T06:49:13.924Z","updated_at":"2024-10-03T14:00:33.166Z","source":"tess","slug":"exploring-and-predicting-using-linear-regression-in-r-83224f4a-8c15-4f12-bd52-6662594a4dee","content_provider_id":23,"user_id":43,"online":true,"last_scraped":"2024-10-03","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":"Prior expertise with R and the command line interface is required as the basics of R will not be covered. Participants are expected to have a basic familiarity  with the concepts of descriptive statistics and elementary statistical hypothesis testing.","tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":991,"external_id":null,"title":"Exploring and Predicting using Linear Regression in R","subtitle":null,"url":"https://www.qcif.edu.au/trainingcourses/exploring-and-predicting-using-linear-regression-in-r/","organizer":"QCIF","description":"This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R.","start":"2024-12-05T09:00:00.000Z","end":"2024-12-05T17:00:00.000Z","sponsors":[],"venue":null,"city":null,"country":null,"postcode":null,"latitude":null,"longitude":null,"created_at":"2024-10-04T14:00:15.223Z","updated_at":"2024-11-20T14:00:41.885Z","source":"tess","slug":"exploring-and-predicting-using-linear-regression-in-r-7e3eda0c-ddb9-451d-a6c2-8528b0122571","content_provider_id":9,"user_id":43,"online":true,"last_scraped":"2024-11-20","scraper_record":true,"keywords":[],"event_types":["workshop"],"target_audience":[],"capacity":null,"eligibility":["open_to_all"],"contact":"training@qcif.edu.au","host_institutions":["QCIF"],"prerequisites":"Prior expertise with R and the command line interface is required as the basics of R will not be covered. Participants are expected to have a basic familiarity  with the concepts of descriptive statistics and elementary statistical hypothesis testing.","tech_requirements":null,"cost_basis":"hosts","cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]},{"id":696,"external_id":null,"title":"Introduction to Machine Learning using R: SVM \u0026 Unsupervised Learning at La Trobe Online","subtitle":null,"url":"https://intersect.org.au/training/schedule","organizer":"Intersect Australia","description":"Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages.\n\n#### You'll learn:\n\n- Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction.\n- Know the differences between various core Machine Learning models.\n- Understand the Machine Learning modelling workflows.\n- Use R and its relevant packages to process real datasets, train and apply Machine Learning models\n\n#### Prerequisites:\n\n- Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation in R](https://intersect.org.au/training/course/r201/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/)needed to attend this course. If you already have experience with programming, please check the topics covered in the courses above and [Introduction to ML using R: Introduction \u0026amp; Linear Regression](https://intersect.org.au/training/course/r205/) to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\n- Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\n\n#### Why do this course:\n\n- Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources.\n- It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning.\n- We do have applications on real datasets!\n- Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects.\n- Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning.\n\nFor a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using R workshops:\n\n- Introduction to Machine Learning using R: Introduction \u0026amp; Linear Regression\n- Introduction to Machine Learning using R: Classification\n- Introduction to Machine Learning using R: SVM \u0026amp; Unsupervised Learning\n  \n  \n  \n**For more information, please click [here](https://intersect.org.au/training/course/r207).**","start":"2024-12-05T10:00:00.000Z","end":"2024-12-05T13:00:00.000Z","sponsors":[],"venue":"","city":"","country":"Australia","postcode":null,"latitude":null,"longitude":null,"created_at":"2024-07-10T14:00:41.940Z","updated_at":"2024-07-24T14:00:47.249Z","source":"tess","slug":"introduction-to-machine-learning-using-r-svm-unsupervised-learning-at-la-trobe-online-542de881-af33-4521-9047-9a743ba235d9","content_provider_id":5,"user_id":43,"online":true,"last_scraped":"2024-07-24","scraper_record":true,"keywords":[],"event_types":[],"target_audience":[],"capacity":null,"eligibility":["host_institution"],"contact":"training@intersect.org.au","host_institutions":["LTU"],"prerequisites":null,"tech_requirements":null,"cost_basis":null,"cost_value":null,"scientific_topics":[],"operations":[],"nodes":[]}]