Data Analytics for Marketing
A practical guide to analyzing marketing data using Python
Created by Guilherme Diaz-Bérrio
Explore practical ways to analyze marketing data using Python and turn raw information into actionable insights. Learn how to choose the right tools and techniques for your marketing questions, and present your findings clearly to drive better decisions.
Packt | May 2024 | 452 min
What You Will Learn
You will work through hands-on exercises using Python and real-world datasets to practice each technique. By focusing on practical examples, you will see how to select and apply the right models for different marketing scenarios, and how to present your findings in a way that supports business goals.
Key Features
- Apply statistical models to real marketing data for deeper insights
- Use Python libraries to conduct analysis and visualize results effectively
- Translate complex data into clear KPIs and recommendations for stakeholders
Target Audience
Ideal for data analysts and data scientists in marketing roles who already know Python and basic statistics. If you want to strengthen your ability to analyze marketing data, generate customer insights, and help your team make informed decisions, this course is designed for you.
