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Marketing Analytics with Python

Gain the Python skills you need to make better data-driven marketing decisions. In this track, you’ll learn how to analyze campaign performance, measure customer engagement, and predict customer churn. Working with real-world data, including retail transactions, 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 pandas, Matplotlib, tweepy, NLTK, seaborn, NumPy, SciPy, and scikit-learn 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 Python.

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1
Python
Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours

Jay Rosok Headshot

Jay Rosok

Data Scientist at Spotify

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Instructors

  • Jay Rosok Headshot
    Jay RosokData Scientist at SpotifySee Jay Rosok's Portfolio
  • Alex Hanna Headshot
  • Isaiah Hull Headshot
  • Karolis Urbonas Headshot

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