Friday, September 22, 10am-12pm
R Programming: R Basics
Register: https://go.wisc.edu/jzc27y

Learning how to code can be intimidating, but will save you time and effort in the long run. This workshop will cover the basics of R programming. By the end of this session, you will be able to create variables, use pre-defined functions, understand data types, and load and inspect a dataset using RStudio.

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

Friday, September 29, 10am-12pm
R Programming: R Basics (repeat)
Register: https://go.wisc.edu/95i8rt

This workshop is an exact repeat of the September 22nd “R Programming: R Basics” workshop (see above).

Friday, October 6, 10am-12pm
R Programming: Data Wrangling
Register: https://go.wisc.edu/9qme74

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 (functions, operators, data types) would be helpful for you to get the most out of this session.

Friday, October 13, 10am-12pm
R Programming: Data Visualization
Register: https://go.wisc.edu/2t6347

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 20, 10am-12pm
R Programming: Reports
Register: https://go.wisc.edu/s99p53

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 using knitr. After this session, you will be able to create R markdown 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 27, 10am-11:30am
R Programming: README Files with R Markdown
Register: https://go.wisc.edu/ysu69x

Documenting your analysis in a way that is understandable to a colleague (or yourself 3 months later) can be challenging. README files are text documents that record your computational environment, methodologies, and more. After this session, you will be able to use R markdown to create a README file template.

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

Tuesday, September 19, 10am-12pm
Python Programming: Introduction
Register: https://go.wisc.edu/9tj1e8

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 26, 10am-12pm
Python Programming: Introduction (repeat)
Register: https://go.wisc.edu/4n39ap

This workshop is an exact repeat of the September 19th “Python: Introduction” workshop (see above).

Tuesday, October 3, 10am-12pm
Python Programming: Loops, Lists, and Functions
Register: https://go.wisc.edu/65dq29

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 (i.e. variables, data types)

Tuesday, October 10, 10am-12pm
Python Programming: Spreadsheets and Data Wrangling with Pandas
Register: https://go.wisc.edu/i5hz61

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 (i.e. functions, operators, data types)

Tuesday, October 17, 10am-12pm
Python Programming: Data Visualization with Seaborn
Register: https://go.wisc.edu/e9eld7

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

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

Tuesday, October 24, 10am-12pm
Python Programming: Batch Processing and Working with Image Collections
Register: https://go.wisc.edu/rk0i6s

This workshop will focus on using Python to make bulk changes to files and file directories. It will also introduce Pillow, a free and beginner-friendly Python library for processing image files.

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