Campus_Introduction to R.jpg
Campus_Introduction to R.jpg

What you'll learn


Introduction to R

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What you'll learn


Introduction to R

You will gain the skills you need to use this flexible and multi-purpose platform for your own research.

This course will help learners to:

  • Have a good understanding of how R works

  • Be able to perform a wide range of data management tasks, with a focus on solving day-to-day conundrums that we all face as social scientists

  • Have the knowledge and skills to apply an extensive set of data exploratory and visualization techniques

  • Be able to use R to perform some of the most common statistical techniques used in the social sciences, namely a dimension reduction technique and OLS regression with interactions

Language: English

Time to complete: 20 hours

Level: Beginner

Instructor
[[Instructor]]

How to access:
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Course modules


Course modules


There are 6 modules in this course:

 

1. What is R and why use it?

You will be introduced to R and RStudio and will learn how R can help you as a social scientist.

2. The R language simplified

You will be introduced to essential R programming terminology and help functions, and gain confidence in setting working directories and using the R workspace. You will also be introduced to an R tool for reproducibility.

3. Everyday data management

You will learn how to prepare your data for analysis, going beyond the basics of data management to employ specific packages that you can use in your own projects.

4. Descriptive statistics and graphs

You will be introduced to data exploration and data visualization tools in R.

5. Summated scales in R

You will expand your statistical testing vocabulary by exploring relationships between multiple variables in R using summated scales.

6. Ordinary Least Squares regression

You will learn how to run Ordinary Least Squares regressions in R, one of the most commonly used methods in the social sciences.

Taster: Big Data and R in brief

You will have a short taster session on accessing big data using R and big data modelling options available in R.

Testimonials


Testimonials


What our learners say

 
Testimonials
Jason Jackson - Director of the Jackson Research Institute

“The Introduction to R course was immediately useful to learn how R can speed up data collection, cleaning, analysis, and visualization with graphs and other plots. I immediately see utility in creating publication quality tables for journal article manuscripts and also for conference presentations. R helps build good research habits! Do not be intimidated to take a data science course, such as this. Get started. You will quickly see you made the correct choice, and will be able to leverage these new skills in many new adventures and professional efforts! ”

 

Who it's for


Who it's for


Who it’s for

No previous knowledge of R or other statistical software is necessary. However, an understanding of social research methods (such as reliability analysis for summated scales) is important. If you are not entirely familiar with the method, you can still benefit from learning how to implement it in R but the course will not cover the research method itself.

FAQs


FAQs


Frequently asked questions

How is the course structured?

The course is broken down into 6 modules and is designed to be completed sequentially, as each module builds upon the topics covered in the previous one.

What software do I need for this course?

You will need to download and install R and RStudio. The course instructor will guide you through installing R and RStudio.

Do I need to buy any of this software?

No, they are either open source or have community (free) versions.

What do I need to participate on this course?

A computer or laptop with the suggested software and a modern browser e.g. Internet Explorer 10+ or the latest versions of Chrome and Firefox.

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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