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Python and Data Science Course

Python and Data Science Course
4 to 360h flexible workload
certificate valid 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 modelling, 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students are saying

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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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