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Introduction to Data Analytics Course

5/5
Introduction to Data Analytics Course
5.0 in rating
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This Intro to Data Analytics course teaches cleaning and validating sales data, understanding schemas, and calculating key metrics confidently. Analyse channels, products, and time series trends, then convert insights into clear executive summaries and action plans. Perfect for enhancing reporting quality, finding growth opportunities, and delivering trusted data-driven recommendations to management.

Elevify advantages

Develop skills

  • Marketing channel analysis: spot ROI gaps fast and propose data-backed fixes.
  • Data cleaning in spreadsheets: quickly detect, fix, and prevent quality issues.
  • Core BI metrics: compute, validate, and present revenue KPIs with confidence.
  • Time-series insights: build monthly trends and explain seasonality to stakeholders.
  • Executive reporting: write sharp summaries and action plans for management.

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 classes 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 that I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way of presentation 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 help a lot in learning.
André Felipe
André FelipePrompt Engineering Student

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