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Data Science Foundation Course

Data Science Foundation Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

The Data Science Foundation Course gives you practical skills to load, clean, and inspect real datasets, handle missing values, and fix common CSV issues. You will compute descriptive statistics, build simple segmentations, compare completion and engagement metrics, and create clear visualizations. Learn to add external benchmarks, explain limitations, and deliver concise, actionable reports and A/B test ideas stakeholders trust.

Elevify advantages

Develop skills

  • Data cleaning pipelines: build fast, reproducible workflows for real datasets.
  • Descriptive stats & segmentation: summarize cohorts and spot performance gaps.
  • Data visualization basics: create clear charts in Python or spreadsheets quickly.
  • Stakeholder reporting: turn analyses into concise, actionable recommendations.
  • A/B test ideation: propose simple experiments to boost user completion and engagement.

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 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... 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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