The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track
Track
Grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company
Data Scientist at INWT Statistics
Course
Analyze text data in R using the tidy framework.
Analyze text data in R using the tidy framework.
Course
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Course
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Course
In this course you'll learn how to use data science for several common marketing tasks.
In this course you'll learn how to use data science for several common marketing tasks.
Course
Learn to analyze and model customer choice data in R.
Learn to analyze and model customer choice data in R.
Marketing Analytics in R
Track
Complete
This is an intermediate to advanced level track; however, beginners will benefit from understanding basic concepts in R prior to enrolling in this track. The track includes a brief refresher for beginners right before diving into the track challenges and exercises.
This track is offered in R.
This track is designed to teach practical skills in marketing analytics to data analysts, marketers, brand managers, and Sales professionals.
This track provides an introduction to marketing analytics and teaches you how to use R to make data-driven decisions. Through hands-on exercises, you'll build experience with popular packages such as tidytext, wordcloud, rtweet, topicmodels, and ggplot2. By the end of the track, you'll be prepared to use R to navigate the world of marketing.
This track usually takes 24 hours to complete.
A skill track provides practical skills on a particular subject and usually requires no delay to complete. A career track may take a longer time to complete and may require prior learning paths be completed before attempting it.
This track covers topics such as customer engagement, competitor analysis, market basket analysis, text analysis, and social media analytics.
In this track, you'll work with popular R packages such as tidytext, wordcloud, rtweet, topicmodels, and ggplot2.