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Data Science Basics Course

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

What will I learn?

The Data Science Basics Course gives you hands-on practice with real product data, from loading CSVs and cleaning dates, countries, and device types to handling missing values and creating useful features. You will run exploratory analysis, build clear visualizations, apply simple statistical tests, and calculate key metrics like retention, ARPU, and purchase rate, then turn findings into concise reports and actionable recommendations.

Elevify advantages

Develop skills

  • App analytics metrics: compute DAU, retention, ARPU, and ARPPU from raw data.
  • Data cleaning basics: fix missing values, parse dates, and standardize categories.
  • Exploratory analysis: build quick charts and tables to compare user groups.
  • Business insight reporting: turn metrics into clear, executive-ready summaries.
  • Statistical reasoning: apply simple tests and explain uncertainty to 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 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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