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Advanced Statistics Course

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

What will I learn?

Gain expertise in advanced churn and retention analysis using real user data. Master data cleaning, exploratory data analysis, and feature engineering. Build precise predictive models with clear interpretations. Enhance causal inference for experiments, assess varied treatment effects, and convert findings into actionable business strategies, assured implementations, and effective follow-up evaluations.

Elevify advantages

Develop skills

  • Advanced churn modelling: construct, refine, and explain strong predictive models efficiently.
  • Practical causal inference: calculate average, conditional, and uplift effects for key decisions.
  • Impactful exploratory data analysis: generate straightforward retention and income insights for leaders.
  • Production data cleaning: prepare, categorise, and check user datasets swiftly.
  • Executive reporting: convert statistical results into brief, leader-friendly narratives.

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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