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Marketing Analytics in R

Updated 03/2026
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.
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RProbability & Statistics24 hr5,375

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Track Description

Marketing Analytics in R

Gain the R skills you need to make more data-driven marketing decisions. In this track, you’ll learn how to measure customer engagement, perform competitor analysis, and identify untapped networks. Working with real-world data, including Roomba reviews and customer churn metrics, you'll discover how to analyze social media data, extract insights from text data, and gain market basket analysis skills that will help you better understand your customers. You’ll also use statistical models and machine learning to forecast customer lifetime value. Through hands-on activities, you’ll use popular packages such as tidytext, wordcloud, rtweet, topicmodels, and ggplot2 to help you improve your company’s marketing strategy. By the end of the track, you'll be ready to navigate the world of marketing using R.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Text Analysis in R

    Analyze text data in R using the tidy framework.

  • Course

    3

    Market Basket Analysis in R

    Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Marketing Analytics in R
6 Courses
Track
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FAQs

Is this Track suitable for beginners?

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.

What is the programming language of this Track?

This track is offered in R.

Which jobs will benefit from this Track?

This track is designed to teach practical skills in marketing analytics to data analysts, marketers, brand managers, and Sales professionals.

How will this Track prepare me for my career?

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.

How long does it take to complete this Track?

This track usually takes 24 hours to complete.

What's the difference between a skill track and a career track?

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.

What topics are covered in this Track?

This track covers topics such as customer engagement, competitor analysis, market basket analysis, text analysis, and social media analytics.

What packages will I work with during this Track?

In this track, you'll work with popular R packages such as tidytext, wordcloud, rtweet, topicmodels, and ggplot2.

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