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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 equips you with hands-on skills to transform raw transaction data into sharp, data-backed decisions. You'll pose the correct questions, ready and craft features, conduct exploratory analysis, and develop solid statistical and predictive models with thorough checks. Master advanced techniques for causal impacts, forecasting, uplift, and uncertainty, then convert findings into targeted reports, dashboards, and practical recommendations. (456 characters)

Elevify advantages

Develop skills

  • BI-focused EDA: swiftly profile retail data, segments, and seasonal patterns.
  • Practical feature engineering: construct RFM, time, and price features to enhance models.
  • Fast statistical modelling: fit, diagnose, and interpret OLS, GLM, and logistic models.
  • Causal and uplift methods: estimate discount and campaign effects for BI choices.
  • BI storytelling: convert model results 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 got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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