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Marketing Analytics in Python

Gain the Python skills you need to analyze marketing campaigns, drill into social media data, and use machine learning to predict customer churn.
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PythonProbability & Statistics24 hours

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Track Description

Marketing Analytics in 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.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Analyzing Marketing Campaigns with pandas

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

  • Project

    bonus

    Combating Subscriber Churn with Targeted Marketing

    Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.

Marketing Analytics in Python
6 courses
Track
Complete

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