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Quantitative Analysis Course

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

What will I learn?

The Quantitative Analysis Course teaches you to clean and prepare daily e-commerce data, explore sales trends, detect seasonality, and link marketing spend to revenue using simple regression, correlations, and channel comparisons. You then build short-term sales forecasts in Excel or code, validate accuracy, and turn results into clear reports and actionable recommendations for planning, budgeting, and performance optimization.

Elevify advantages

Develop skills

  • Sales driver analysis: link marketing spend, channels, and time to revenue impact.
  • Time-series exploration: reveal trends, seasonality, and anomalies in daily sales.
  • Fast forecasting: build 30-day sales forecasts with Excel and simple code methods.
  • Model validation: backtest forecasts, read error metrics, and assess business risk.
  • Executive reporting: turn analytics into clear BI summaries and action plans.

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 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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