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.


您将学到什么
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.
您将获得的技能
要了解的详细信息

添加到您的领英档案
September 2025
8 项作业
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该课程共有2个模块
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.
涵盖的内容
8个视频4个作业1个插件
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.
涵盖的内容
8个视频4个作业
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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