Data Analytics Python Course
Gain mastery in data analytics using Python tools like pandas, NumPy, Matplotlib, and Seaborn. Clean actual datasets, engineer features, visualise key insights, and transform metrics into clear recommendations that support better product and technology choices. Ideal for professionals aiming to leverage data effectively in decision-making processes.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to clean, transform, and analyse real-world datasets using pandas, NumPy, Matplotlib, and Seaborn. Learn data loading, validation, handling missing values, feature engineering, and exploratory data analysis. Create compelling visualisations and reports that convert metrics into actionable product ideas, A/B tests, and data-driven decisions for immediate use.
Elevify advantages
Develop skills
- Set up Python data analytics environments quickly and efficiently.
- Use Pandas to clean, merge, and summarise product data rapidly.
- Create publication-quality charts and visualisations with Seaborn.
- Develop strong features, metrics, and indicators for better decisions.
- Communicate insights by converting metrics into actionable stories.
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 got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...

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

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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