Data Science Crash Course
This crash course equips you with essential data science skills to analyze churn in product data, from exploration to actionable insights, emphasizing ethics and communication.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Data Science Crash Course provides a quick, hands-on route from unprocessed data to straightforward churn insights. You'll learn to investigate and tidy actual product data, create effective features, develop basic predictive models and rule-based risk indicators, and assess performance using key metrics. Additionally, you'll hone ethical reasoning and succinct communication to offer precise, practical suggestions that enhance user retention.
Elevify advantages
Develop skills
- Rapid EDA expertise: summarise, visualise, and contrast churn factors in minutes.
- Hands-on feature engineering: develop churn indicators from genuine app usage data.
- Swift predictive modelling: construct and verify simple, interpretable churn models.
- Lucid stakeholder reporting: convert churn discoveries into concise, executive-level summaries.
- Ethical data handling: identify bias, safeguard privacy, and establish responsible churn guidelines.
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.What our students say
Your lessons 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 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 FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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