Python and Data Science Course
This course equips you with hands-on Python skills for data science, from data cleaning and exploration to statistical analysis and reproducible workflows, enabling you to derive actionable insights from real-world data.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
Master practical Python and data science skills to quickly load, clean, and validate real-world datasets, engineer powerful features, and run clear exploratory analysis. You will create insightful visualizations, apply essential statistics and basic modeling, and work in reproducible environments. By the end, you will confidently turn raw data into evidence-based insights and concrete, actionable recommendations.
Elevify advantages
Develop skills
- Data quality checks in pandas: instantly spot missing, bad, and duplicate data.
- Practical data cleaning: fix types, timestamps, and outliers for reliable models.
- Fast EDA and visualization: build clear funnels, cohorts, and time-series charts.
- Statistical insight skills: run tests, regressions, and interpret results in Python.
- Reproducible analytics: structure projects, notebooks, and reports for stakeholders.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons 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 I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, 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 with learning.

André FelipePrompt Engineering Student
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