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Building Response Models in R
4.9(30)INTERMEDIATEEnglish
Korshub's take
Master Marketing Analytics in R
In a data-driven economy, the ability to prove marketing ROI is a critical skill for any modern data scientist. This intermediate-level course moves beyond basic data collection to focus on the actual statistical modeling required to measure campaign success.
What You'll Learn
- Quantifying Impact: Learn to measure how specific variables, such as pricing shifts and various promotional tactics, influence consumer behavior.
- Data Versatility: Gain experience working with both aggregate sales figures and granular, individual-level choice data.
- Pattern Recognition: Develop the skills to uncover the underlying relationship between marketing actions and customer reactions.
This course is ideal for data scientists looking to specialize in marketing science by building robust response models using R.
About this course
Almost every company collects digital information as part of their marketing campaigns and uses it to improve their marketing tactics. Data scientists are often tasked with using this information to develop statistical models that enable marketing professionals to see if their actions are paying off. In this course, you will learn how to uncover patterns of marketing actions and customer reactions by building simple models of market response. In particular, you will learn how to quantify the impact of marketing variables, such as price and different promotional tactics, using aggregate sales and individual-level choice data.
Access
SubscriptionIncluded with a DataCamp subscription
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