Data Science Project Course
Gain expertise in the complete data science project process for mobile apps, covering problem definition, data preparation, feature engineering, modelling, A/B testing, and production deployment to deliver impactful, reliable solutions that boost key business metrics like churn reduction and revenue growth.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course guides you through the full data science lifecycle: defining business goals, checking data quality, preparing features, conducting exploratory analysis, building and assessing models, handling risks, designing experiments, and implementing monitoring, documentation, and deployment for reliable, scalable results.
Elevify advantages
Develop skills
- Business problem framing: transform app objectives into precise data science queries.
- Data preparation and features: clean app data and create effective behavioural features.
- Practical modelling: develop, optimise, and assess churn prediction models for revenue gains.
- A/B testing and uplift: plan efficient experiments to quantify business outcomes.
- Machine learning in production: strategise deployment, monitoring, and drift management for app models.
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.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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