Project-Based Data Science Course
This course equips learners with practical data science skills focused on churn prediction and retention strategies through hands-on projects using real user data.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Project-based Data Science Course teaches you how to clean real user data, engineer powerful engagement and churn features, and run clear exploratory analysis with visualisations and statistics. You will build, validate, and interpret churn prediction models, then turn outputs into concrete retention experiments, KPIs, and action plans you can apply immediately to improve product performance and revenue.
Elevify advantages
Develop skills
- Data cleaning for churn: fix IDs, dates, missing values fast and reliably.
- Feature engineering: build RFM, monetisation, and behavioural signals that predict churn.
- Exploratory analysis: visualise churn by segment and extract clear, usable insights.
- Churn modelling: train, validate, and calibrate models with business-ready metrics.
- Actionable data science: turn churn scores into A/B-tested retention and revenue wins.
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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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