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Quantitative Course

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

What will I learn?

Quantitative Course gives you practical skills to turn raw transactional data into clear, data-driven decisions. You will frame the right questions, prepare and engineer features, run exploratory analysis, and build robust statistical and predictive models with proper diagnostics. Learn advanced methods for causal effects, forecasting, uplift, and uncertainty, then translate results into focused reports, dashboards, and testable recommendations.

Elevify advantages

Develop skills

  • BI-focused EDA: quickly profile retail data, segments, and seasonality.
  • Practical feature engineering: build RFM, time, and price features that boost models.
  • Fast statistical modeling: fit, diagnose, and interpret OLS, GLM, and logistic models.
  • Causal and uplift methods: estimate discount and campaign impact for BI decisions.
  • BI storytelling: turn model outputs into clear dashboards, tests, and actions.

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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