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Advanced Statistics Course

Advanced Statistics Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Master advanced churn and retention analysis using real-world user data in this targeted course. Acquire skills in robust data cleaning, exploratory data analysis, and feature engineering. Build calibrated predictive models with interpretable results. Enhance causal inference techniques for experiments, estimate heterogeneous treatment effects, and deliver clear business recommendations for confident implementations and impactful follow-up tests.

Elevify advantages

Develop skills

  • Advanced churn modelling: build, tune, and interpret robust predictive models quickly.
  • Practical causal inference: estimate ATE, CATE, and uplift for key business decisions.
  • High-impact EDA: generate clear retention and revenue insights for stakeholders.
  • Clean production data: preprocess, encode, and validate user-level datasets efficiently.
  • Business-ready reporting: transform stats outputs into concise executive stories.

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'm grateful 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 and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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