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Quantitative Course

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

What will I learn?

This course equips you with hands-on skills to transform raw transaction data into actionable insights. Frame key questions, engineer features, conduct exploratory analysis, and develop reliable statistical and predictive models with diagnostics. Master causal inference, forecasting, uplift modelling, and uncertainty quantification, then create compelling reports, dashboards, and recommendations. (347 characters)

Elevify advantages

Develop skills

  • BI-focused EDA: rapidly profile retail data, customer segments, and seasonal patterns.
  • Practical feature engineering: create RFM, temporal, and pricing features to enhance model performance.
  • Efficient statistical modelling: implement, validate, and interpret OLS, GLM, and logistic regression.
  • Causal and uplift analysis: quantify impacts of discounts and campaigns for informed BI choices.
  • BI storytelling: convert model results into intuitive dashboards, experiments, and strategies.

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.
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 my 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 help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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