Marketing Analytics in R

Uppdaterad 2026-03

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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Spårbeskrivning

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.

Förkunskapskrav

Det finns inga förkunskapskrav för detta spår

Course
1
Introduction to Text Analysis in R
Analyze text data in R using the tidy framework.
Course
2
Analyzing Social Media Data in R
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Course
3
Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Course
4
Machine Learning for Marketing Analytics in R
In this course you'll learn how to use data science for several common marketing tasks.
Course
5
Choice Modeling for Marketing in R
Learn to analyze and model customer choice data in R.
Course
6
Building Response Models in R
Learn to build simple models of market response to increase the effectiveness of your marketing plans.