This course provides a practical, hands-on case study in e-commerce data analysis using Matplotlib with Python. Designed at the intermediate level, it equips learners with the skills to set up the environment, explore datasets, and construct compelling visualizations that reveal meaningful business insights.
Matplotlib with Python: E-commerce Data Visualization
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Matplotlib with Python: E-commerce Data Visualization
This course is part of Matplotlib: Python Data Visualization & Wrangling Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Prepare and explore e-commerce datasets using Python and Matplotlib basics.
Create line, bar, scatter, pie, and box plots to analyze trends and insights.
Interpret patterns, distributions, and outliers for actionable business decisions.
Skills you'll gain
Details to know
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Recently updated!
September 2025
Assessments
8 assignments
Taught in English
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This course is part of the Matplotlib: Python Data Visualization & Wrangling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
This module introduces learners to the foundational concepts and tools required to perform e-commerce data analysis with Python and Matplotlib. Students will begin by setting up the project environment, installing essential software, and preparing the dataset for analysis. The lessons progressively cover inline functions, unique value identification, and data preprocessing for effective handling of real-world datasets. Finally, the module establishes a strong base in visualization principles, explaining figures, axes, and object-oriented plotting methods in Matplotlib. By the end of this module, learners will have the skills to set up their environment, explore datasets, and apply basic visualization techniques for business insights.
What's included
8 videos4 assignments1 plugin
This module focuses on applying Matplotlib to create meaningful and professional visualizations for e-commerce datasets. Learners will progress from plotting simple line graphs to more advanced techniques including histograms, bar graphs, scatter plots, pie charts, and boxplots. Each lesson demonstrates how to interpret data visually, customize graphs with parameters, and highlight key insights for business decision-making. By completing this module, learners will develop the ability to transform raw e-commerce data into clear, visually appealing insights using Matplotlib.
What's included
8 videos4 assignments
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