Friday, September 19, 10am-12pm
R Programming: R Basics
Register: go.wisc.edu/2zo751

This workshop is for the absolute beginner wanting to slowly walk through the process of getting started with R, a programming language commonly used for data analysis. The session will introduce you to the RStudio interface for coding in R. We will work through setting up a project directory, cover key concepts and terminology, and load and inspect a dataset.

This workshop is geared toward programming novices, so no previous experience is required.

Friday, September 26, 10am-12pm
R Programming: R Basics (repeat)
Register: go.wisc.edu/wdcuc8

This workshop is an exact repeat of the September 19th “R Programming: R Basics” workshop (see above).

Friday, October 3, 10am-12pm
R Programming: Data Wrangling
Register: go.wisc.edu/6qux10

Data is rarely perfect out of the box. This workshop will cover how to manipulate datasets using an R package called dplyr. After this session, you will be able to select rows and columns, add new columns, remove missing data and create summary tables of your data.

A basic working knowledge of R and RStudio (e.g., functions, operators, data types) would be helpful for you to get the most out of this session.

Friday, October 10, 10am-12pm
R Programming: Data Visualization
Register: go.wisc.edu/f7n0ww

So you’re familiar with R, but want to do more with your plots than the base graphics package. This workshop will show you how to use the ggplot2 package in R. After this session, you will be able to create a variety of plot types, alter their aesthetics, and create custom themes.

A working knowledge of R, RStudio, and dplyr would be helpful for you to get the most out of this session.

Friday, October 17, 10am-12pm
R Programming: Reports
Register: go.wisc.edu/qv5hdj

One way to automate your reports is to create files with human readable text and machine readable code. This workshop will cover creating reproducible reports of this type in RStudio using Quarto. After this session, you will be able to create Quarto documents, add formatted text and executable code blocks, and render the document into a final report.

A working knowledge of R and RStudio would be helpful for you to get the most out of this session.

Friday, October 31, 10am-12pm
R Programming: Organizing Your Projects with GitLab + RStudio
Register: go.wisc.edu/4dye27

Do you have lots of versions of files/scripts in a folder and want to better organize them? You need a formal version control software tool called Git! This workshop teaches learners to use RStudio and Git to keep track of file versions, switch back to old versions of a file, host version controlled files on the campus GitLab instance, and synchronize your files between different computers. No Command Line Needed!

Individuals with a UW NetID and a working knowledge of R and RStudio will get the most out of this workshop.

Tuesday, September 16, 10am-12pm
Python Programming: Introduction
Register: go.wisc.edu/347618

This workshop is for the absolute beginner wanting to slowly walk through the process of getting started with Python, a programming language commonly used for data analysis. We’ll work through installation and setup of some helpful software and introduce basic concepts and terminology used in Python. Finally, we’ll work together to create your first simple but useful program!

This workshop is geared toward programming novices, so no previous experience is required.

Tuesday, September 23, 10am-12pm
Python Programming: Introduction (repeat)
Register: go.wisc.edu/7l4l52

This workshop is an exact repeat of the September 16th “Python: Introduction” workshop (see above).

Tuesday, September 30, 10am-12pm
Python Programming: Loops, Lists, and Functions
Register: go.wisc.edu/74uf02

This workshop will take a deeper dive into Python, covering essential topics such as automating tasks using loops, lists, and functions.

Prerequisite: Understanding of basic Python concepts (e.g., variables, data types) is helpful.

Tuesday, October 7, 10am-12pm
Python Programming: Spreadsheets and Data Manipulation
Register: go.wisc.edu/d5cg1r

Real-world data can be messy. This workshop will cover a range of topics related to organizing and manipulating spreadsheet data for more effective analysis. We’ll use pandas, a popular and free data analysis library written for Python.

Prerequisite: Understanding of basic Python concepts (e.g., functions, operators, data types) is helpful.

Tuesday, October 14, 10am-12pm
Python Programming: Data Visualization with Seaborn
Register: go.wisc.edu/95k294

In this workshop, we will explore different methods and tools for visualizing data. We’ll use seaborn, a popular and free data visualization library written for Python.

Prerequisite: Understanding of basic Python concepts (e.g., functions, operators, data types) is helpful.