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  1. Home
  2. Learning Paths

Marketing Analytics with Python Learning Path

Marketing Analytics with Python is a Skill Path designed by DataCamp. It consists of seven courses with 28 hours of learning content .

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Description

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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Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

DataCamp
1. Analyzing Marketing Campaigns with pandas
Jill Rosok

4 hours

$300

7,166
Pandas AB Testing Automation Data Analysis Data Sets Data Visualization
DataCamp
2. Analyzing Social Media Data in Python
Alex Hanna

4 hours

$300

12,471
Python APIs Data Analysis JSON
DataCamp
3. Market Basket Analysis in Python
Isaiah Hull

4 hours

$300

4,376
Python Algorithms Customer Analytics Data Analysis Data Visualization Product Analytics
DataCamp
4. Machine Learning for Marketing in Python
Karolis Urbonas

4 hours

$300

6,231
Python Customer Analytics Decision Trees Machine Learning Marketing Analytics Product Analytics
DataCamp
5. Customer Segmentation in Python
Karolis Urbonas

4 hours

$300

10,794
Python Algorithms Cluster Analysis Customer Analytics Data Analysis Data Visualization
DataCamp
6. Marketing Analytics: Predicting Customer Churn in Python
Mark Peterson

4 hours

$300

9,482
Pandas Python Seaborn scikit-learn Customer Analytics Data Analysis Data Analytics Data Modeling Data Sets
DataCamp
7. Customer Analytics and A/B Testing in Python
Ryan Grossman

4 hours

$300

12,193
Python AB Testing Applied Mathematics Confidence Intervals Customer Analytics Data Analysis
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