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Python and Data Science Course

Python and Data Science Course
from 4 to 360h flexible workload
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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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