Data Science for Marketing Analytics
Data Science for Marketing Analytics opens doors to looking at data with a different approach and new tools. Drawing on machine learning and data science concepts, this book broadens the range of tools that you can use to transform the market analysis process.
Offered by
Difficulty Level
Intermediate
Completion Time
14h
Language
English
About Book
Who Is This Book For?
Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
Data Science for Marketing Analytics
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h total length
Data Preparation and Cleaning
Data Exploration and Visualization
Unsupervised Learning: Customer Segmentation
Choosing the Best Segmentation Approach
Predicting Customer Revenue Using Linear Regression
Other Regression Techniques and Tools for Evaluation
Supervised Learning: Predicting Customer Churn
Fine-Tuning Classification Algorithms
Modeling Customer Choice
Related Resources
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