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Marketing Analytics in R

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 hours4,381

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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
Complete

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