Data Mining with Python Course
Master data mining using Python with pandas, NumPy, and Jupyter notebooks. Learn to clean, explore, and visualise real-world datasets effectively. Build rule-based customer segments and transform raw data into actionable insights and reliable business recommendations for informed tech decisions.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches setting up a strong Python environment, loading and checking real datasets using pandas, and analysing them with simple visuals. You will learn data cleaning, managing missing values, creating time-based features, and forming rule-based segments. Finally, convert patterns into practical recommendations and clear reports that stakeholders can rely on for quick action.
Elevify advantages
Develop skills
- Clean and validate Python datasets fast with robust missing data handling.
- Engineer powerful time-based features and engagement metrics in pandas.
- Build rule-based customer segments and simple scoring models for quick wins.
- Create insightful visualizations and pivot analyses that reveal user behavior.
- Deliver reproducible, business-ready data mining reports with clear insights.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.

Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

André FelipePrompt Engineering Student
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