This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 4 Topics: We will applying the skills learned during previous sessions to a real world social science example.

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 2 Topics:

• Lists
• Loops
• Conditionals
• Functions
• Scope

Knowledge requirements: Python Fundamentals: Part 1 or equivalent prior knowledge

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

Registration note: To participate in multiple parts of this series, please be sure to register for each day separately.

R Fundamentals Part 2: Subsetting and Reshaping

Students will be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Terms like subset, bracket notation, and logical vectors will be defined and reintroduced in Part 2.