Python for Retail E-commerce Analytics
A free 43-lesson course. Every lesson has a video walkthrough and a Jupyter notebook you can download or open in Google Colab. Tools covered: pandas, NumPy, Matplotlib, collections, scikit-learn, itertools.
24 minLesson 1
Introduction to Retail and E-commerce Analytics with Python
23 minLesson 2
Understanding Retail Business Models for E-commerce and Analytics
26 minLesson 3
Understanding Types of Retail and E-commerce Data for Effective Python Analytics
19 minLesson 4
Retail Analytics Workflow Using Python: Step-by-Step Training for E-commerce Data
24 minLesson 8
Numerical Analysis with NumPy for Retail Data Training
21 minLesson 9
Introduction to Pandas for Retail Analytics Using Python
23 minLesson 10
Loading Retail Transaction Data from CSV and Excel in Python
19 minLesson 11
Structure of Retail Transaction Datasets for Data Analytics Training
23 minLesson 12
Understanding Product and Category Data for Retail E-commerce Analytics
23 minLesson 13
Customer and Order Data in Retail Systems: Python Training for E-commerce Analytics
21 minLesson 14
Pricing, Discounts, and Revenue Fields in Python for E-commerce Analytics Training
27 minLesson 15
Assessing Retail Data Quality in Python for E-commerce Analytics | Step-by-Step Guide
20 minLesson 16
How to Identify Missing and Invalid Retail Records Using Python for E-commerce Analytics
24 minLesson 17
Master Cleaning and Standardizing Product Data for Retail E-commerce Analytics
22 minLesson 18
Effective Techniques to Handle Duplicate Orders in Python for Retail E-commerce Analytics
26 minLesson 19
Encoding Categorical Retail Variables for Machine Learning in Python
20 minLesson 21
Descriptive Statistics for Retail Data Analysis in Python
20 minLesson 22
Analyzing Sales by Product and Category in Python for Retail E-commerce
27 minLesson 23
Customer Purchase Behavior Analysis Training with Python for Retail E-commerce Analytics
24 minLesson 24
Visualizing Retail Sales Data with Python for E-commerce Analytics
24 minLesson 25
Master Interpreting Retail Performance Patterns Using Python for E-commerce Analytics
22 minLesson 26
Introduction to Customer Analytics for Retail and E-commerce
21 minLesson 30
Customer Clustering Using K-Means in Python for Retail Analytics
24 minLesson 31
Product Performance Analysis with Python for Retail E-commerce Analytics
20 minLesson 32
Top Selling and Low-Performing Products Analysis with Python for Retail E-commerce
23 minLesson 35
Product Bundle Insights and Cross-Selling Strategies with Python for Retail Analytics
21 minLesson 37
Master Average Order Value & Conversion Metrics with Python for Retail E-commerce
23 minLesson 38
Channel and Regional Sales Analysis Using Python for Retail E-commerce Insights
24 minLesson 40
Unlock Revenue Growth Opportunities in Retail E-Commerce with Python Analytics
27 minLesson 41
Introduction to Machine Learning in Retail: Practical Training for E-commerce Analytics
20 minLesson 43
Product Recommendation Systems Training for E-commerce Analytics with Python
16 minLesson 44
Predicting Customer Churn in Retail Using Python Analytics
23 minLesson 45
Demand Prediction Using Machine Learning for Retail E-Commerce Analytics
21 minLesson 46
Introduction to Retail Sales Forecasting with Python for E-commerce Analytics
25 minLesson 48
Seasonal Demand Forecasting Training with Python for Retail E-commerce Analytics
25 minLesson 50
Evaluating Forecast Accuracy: Techniques for Retail E-commerce Analytics in Python
24 minLesson 51
Turning Retail Data into Business Insights with Python Analytics
23 minLesson 52
Designing Retail Analytics Dashboards with Python for E-commerce Insights
21 minLesson 53
Data Storytelling for Retail Decision Makers: Practical Training for Impactful Insights
20 minLesson 55
Exporting Retail Analysis Reports Using Python for E-commerce Analytics
23 minLesson 56
End to End Retail Analytics Project Training with Python for E-commerce
19 minLesson 57
Customer Segmentation Case Study: Python Training for Retail E-commerce Analytics
18 minLesson 58