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Introduction to Data Analysis Course

4.7/5
Introduction to Data Analysis Course
4.7 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Introduction to Data Analysis Course gives you a clear, hands-on path to working confidently with real transaction data. You will learn to load and inspect datasets, run data quality checks, handle missing values, and build reliable derived fields. Practice aggregation, descriptive statistics, outlier detection, and time series summaries, then turn your findings into concise, actionable reports for non-technical stakeholders.

Elevify advantages

Develop skills

  • Retail data cleaning: quickly fix missing, invalid, and inconsistent fields.
  • Outlier detection: spot, validate, and justify keeping or removing extreme values.
  • Revenue analytics: aggregate, segment, and summarize sales with solid statistics.
  • Time series basics: build monthly revenue views and flag spikes, dips, and seasonality.
  • Executive reporting: turn analyses into clear, concise insights for non-technical teams.

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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