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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 provides practical experience with actual product data, starting from loading CSV files and cleaning dates, countries, and device types, to managing missing values and developing useful features. You will conduct exploratory analysis, create clear visualisations, perform basic statistical tests, and compute essential metrics such as retention, ARPU, and purchase rate, then transform your findings into succinct reports and practical recommendations.

Elevify advantages

Develop skills

  • App analytics metrics: calculate DAU, retention, ARPU, and ARPPU from raw data.
  • Data cleaning basics: address missing values, parse dates, and standardise categories.
  • Exploratory analysis: create quick charts and tables to compare user groups.
  • Business insight reporting: convert 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of 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 change 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 really help with learning.
André Felipe
André FelipePrompt Engineering Student

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