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skill track

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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Loved by learners at thousands of companies

1
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Jay Rosok Headshot

Jay Rosok

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Karolis Urbonas Headshot

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Karolis Urbonas Headshot

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Learn how to use Python to analyze customer churn and build a model to predict it.

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Mark Peterson Headshot

Mark Peterson

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Customer Analytics and A/B Testing in Python

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Ryan Grossman Headshot

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Instructors

  • Jay Rosok Headshot
    Jay RosokData Scientist at SpotifySee Jay Rosok's Portfolio
  • Alex Hanna Headshot
    Alex HannaComputational Social ScientistSee Alex Hanna's Portfolio
  • Isaiah Hull Headshot
    Isaiah HullEconomistSee Isaiah Hull's Portfolio
  • Karolis Urbonas Headshot
    Karolis UrbonasHead of Machine Learning and ScienceSee Karolis Urbonas's Portfolio