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Intersect test
https://intersect.org.au
https://staging.dresa.org.au/content_providers/intersect-test
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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,...
Keywords: Excel
Excel for Researchers
https://intersect.org.au/training/course/excel101
https://staging.dresa.org.au/materials/excel-for-researchers-7a896911-154c-4a7a-a245-293d89aed964
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.
‘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
In 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.
training@intersect.org.au
Xingyong (Jeff) Wang
Jianzhou Zhao
Excel
QA Course 1
QA About
QA Learning Objectives
QA Prerequisites
Keywords: REDCap
QA Course 1
https://intersect.org.au/training/course/qac1
https://staging.dresa.org.au/materials/qa-course-1
QA About
QA Learning Objectives
QA Prerequisites
training@intersect.org.au
Weisi Chen
REDCap
Data Capture and Surveys with REDCap
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...
Keywords: REDCap
Data Capture and Surveys with REDCap
https://intersect.org.au/training/course/redcap101
https://staging.dresa.org.au/materials/data-capture-and-surveys-with-redcap-f8f6d9fa-5931-4200-ad45-313c7655b60c
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.
- 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
The course has no prerequisites.
training@intersect.org.au
Aidan Wilson
REDCap
Learn to Program: R
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.
But getting started with R can be challenging,...
Keywords: R
Learn to Program: R
https://intersect.org.au/training/course/r101
https://staging.dresa.org.au/materials/learn-to-program-r-ce8796ad-a8ad-48b7-9a30-b43c8046d8d1
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.
But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in.
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 the highly regarded Software Carpentry Foundation.
- Introduction to the RStudio interface for programming
- Basic syntax and data types in R
- How to load external data into R
- Creating functions (FUNCTIONS)
- Repeating actions and analysing multiple data sets (LOOPS)
- Making choices (IF STATEMENTS – CONDITIONALS)
- Ways to visualise data in R
**No prior experience with programming** needed to attend this course.
We strongly recommend attending the [Start Coding without Hesitation: Programming Languages Showdown](https://intersect.org.au/training/course/coding001/) and [Thinking like a computer: The Fundamentals of Programming](https://intersect.org.au/training/course/coding003/) webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/).
training@intersect.org.au
The Carpentries
R
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,...
Keywords: Python
Learn to Program: Python
https://intersect.org.au/training/course/python101
https://staging.dresa.org.au/materials/learn-to-program-python-7f13ec4e-d275-486b-be8d-3c0b8d082a7a
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.
- Introduction to the JupyterLab interface for programming
- Basic syntax and data types in Python
- How to load external data into Python
- Creating functions (FUNCTIONS)
- Repeating actions and anylsing multiple data sets (LOOPS)
- Making choices (IF STATEMENTS – CONDITIONALS)
- Ways to visualise data in Python
**No prior experience with programming** needed to attend this course.
We strongly recommend attending the [Start Coding without Hesitation: Programming Languages Showdown](https://intersect.org.au/training/course/coding001/) and [Thinking like a computer: The Fundamentals of Programming](https://intersect.org.au/training/course/coding003/) webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/).
training@intersect.org.au
Aidan Wilson
The Carpentries
Python
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