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Data Analysis Course

4.8/5
Data Analysis Course
4.8 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Data Analysis Course shows you how to clean e-commerce data, validate fields, and handle missing values using efficient CSV workflows. You will compute core sales metrics, build clear segment and time series views, analyze discounts and pricing impact, and design simple experiments. Finally, you will create reproducible reports, dashboards, and concise recommendations that drive measurable results.

Elevify advantages

Develop skills

  • Time series insight: detect trends, seasonality and outliers in BI sales data.
  • Segmentation analytics: build RFM, cohort and product segments that drive revenue.
  • Pricing and discount analysis: estimate elasticity and promotion lift for BI decisions.
  • Data quality for BI: clean, validate and document large e-commerce datasets fast.
  • BI reporting mastery: design clear dashboards and concise, action-focused reports.

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 classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch 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 switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, 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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