| File Name: | Python Data Analysis: E-commerce Sales & Portfolio Project |
| Content Source: | https://www.udemy.com/course/python-data-analysis-e-commerce-sales-portfolio-project |
| Genre / Category: | Programming |
| File Size : | 494.7 MB |
| Publisher: | Praxis AI Academy |
| Updated and Published: | October 2, 2025 |
This course is designed for maximum efficiency, delivering a complete data analysis project in just 1.5 hours. We’ve trimmed the fat to give you a highly focused, hands-on learning experience that respects your time. You’ll walk away with a portfolio-ready project that demonstrates not just what you know—but what you can do.
- Fast-Track Your Skills: Learn to clean, analyze, and visualize a real-world e-commerce dataset with Python in a highly streamlined format. Get straight to the core concepts without any unnecessary filler.
- Build Your Portfolio: Each section includes a practical assignment with a comprehensive solution. We highly recommend you complete these, especially the final portfolio project, which challenges you with a variety of advanced business analysis problems.
- Test Your Knowledge: Reinforce your learning with two practical tests that are highly recommended for every student. These are not just quizzes; they’re an excellent way to refresh, reboot, and solidify the knowledge and coding skills you learn in the lectures.
- Get Your Questions Answered: Our teaching team is committed to your success. We encourage you to engage with the Q&A section, and we will respond to your questions as quickly as possible to keep your learning on track.
What You’ll Learn:
- Load & inspect real-world data using Pandas
- Clean messy datasets: fix missing values, duplicates, data types
- Manipulate & aggregate data: filter, group, summarize like a pro
- Visualize insights with Matplotlib and Seaborn
- Solve a business problem using data storytelling
No fluff—just applied, end-to-end analysis you can showcase to employers or clients.
Why This Course?
Unlike theory-heavy classes, this course goes narrow and deep—solving one problem from start to finish. It’s designed to build practical skills, not just passive knowledge.
Whether you’re switching careers or leveling up, you’ll leave with a real project that proves your ability to turn raw data into business value.
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