Practical Data Management with R for Social Scientists

Practical Data Management with R for Social Scientists
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What you'll learn

What you'll learn

What you'll learn on this self-paced online course

Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale.

By the end of this course you will have gained:

  • An understanding of Basic R commands and data structures for manipulating data

  • The ability to read data from multiple formats in and out of R

  • Proficiency using loops, conditional statements, and functions to automate common data management tasks

  • Familiarity with R’s package system for extending its functionality

  • The skills to clean and manage multiple complex datasets

  • The ability to clean and manipulate textual data

  • An understanding of basic web scraping techniques, for both standard web pages and the Twitter API

  • An overview of the techniques and hardware necessary to manage large datasets efficiently

15-25 hours to learn
3 months access



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Course modules

Course modules

There are five modules in this course

Introduction to R and RStudio

You will learn about: installing R and RStudio, basic R programming skills and five basic data structures.

R Programming Fundamentals

You will learn about: Data I/O and packages, looping and conditional statements, and functions

Data Management in R

You will learn how to: manage multiple datasets by example, work with text data, convert long- and wide-format data and deal with messy data.

Automated Data Collection

You will be given: an overview of web/text scraping and the legal considerations, a basic web scraping example and an understanding of scraping Twitter.

Performance and Scalability

You will be introduced to High Performance Computing and Big Data and learn about performant programming.

Try it out

Try it out

Try it out



What our learners say





Basic computer skills, and some experience working with any sort of statistical analysis software (Excel, SAS, Stata, SPSS) will be helpful.



Frequently asked questions

How is this course structured?

This course is broken up into five units. Each unit is broken up into a number of discrete topics, with video lectures and supporting materials associated with each topic. Each topic builds on the previous topics, so they are designed to be completed in order, unless you have previous experience with a topic. At the end of each unit, you will be given a homework assignment that synthesizes what you have learned in that unit.

Can I fit the course around my schedule?

We know you’re busy so we don’t set module deadlines. You are free to login and learn whenever suits your schedule. If you are able to commit to a few evenings a week, you will have completed the modules within approximately a month. However, if you have a busy period, you have the flexibility to spread your module completion over a 3 month access period.

How can I get help during the course?

SAGE Campus will help you with any IT or platform issues you might have.

How long will I have access to the course for?

You will have access to the course material for 3 months.

Do learners get a certificate?

All of our courses offer a certificate of completion signed by your instructor. You will be able to download this certificate, from the Learning Platform, when you complete the course.

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