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Python Data Analysis: Build a Portfolio Project in 90 Mins
Rating: 5.0 out of 5(1 rating)
4 students

Python Data Analysis: Build a Portfolio Project in 90 Mins

The shortcut into real data analysis — one e-commerce project, zero fluff, something concrete to show.
Created byPraxis AI Academy
Last updated 4/2026
English

What you'll learn

  • Complete a full data analysis project using real e-commerce sales data
  • Clean messy, real-world data — handle missing values, duplicates, and inconsistent formats
  • Uncover business insights: which products sell, when revenue peaks, what drives performance
  • Build clear visualizations that communicate findings, not just display data
  • Walk away with a finished portfolio project you built yourself, not a tutorial you followed passively
  • Develop the confidence and muscle memory to start your next, more complex data project

Course content

6 sections • 19 lectures • 1h 33m total length

  • Welcome to Your E-commerce Data Analysis Project!4:40
  • Your Data Toolkit: Jupyter & Library Installation5:57
  • Setting Up Your Python Data Lab: Anaconda, Jupyter, and First Notebook8:07

Requirements

  • You can install packages with pip and open a Jupyter notebook
  • You can write basic Python
  • No experience with Pandas, Matplotlib, or Seaborn needed — this course starts from zero with those tools

Description

If you've been learning Python for a while but haven't built anything you can actually show yet, this course is the shortcut you're looking for.

In 90 minutes you will complete one real e-commerce sales analysis from start to finish — messy raw data to clean insights to finished visualizations. That project goes directly into your portfolio. No weeks of theory before you touch real data. No artificially extended curriculum. One focused problem, solved completely, in a single sitting.

This is not a comprehensive data science course. It is deliberately narrow. If you want the fastest possible path from Python basics to a finished data project you're proud of, this is what you've been looking for.


  • One complete project, start to finish. Real e-commerce sales data, cleaned and analyzed end to end. Not a fragment of a workflow — the whole thing.

  • 90 minutes, no filler. Every section exists because it is necessary to complete the project. Nothing is there to pad the runtime.

  • Portfolio-ready output. You finish with something you built yourself that you can show in an application, an interview, or on GitHub.

  • Practice tests and assignments included. Two tests and practical assignments that reinforce what you build in the project — not passive quizzes, active application.

  • Proven by students. One student called it "a shortcut with a small project, if you don't like the long period to start." That is exactly what this is.

Who this course is for:

  • You've completed a Python basics course and want to use those skills on something real, not another tutorial
  • You've been meaning to build a portfolio project but keep putting it off because it feels like a big commitment
  • You want to understand how data analysis actually works in practice, not just in theory
  • You don't have weeks to spend — you want to finish something concrete in one sitting and move forward
  • You're early in your data journey and want a low-stakes first project that builds your confidence for bigger ones

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