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Data Science and Data Analytics Course

Data Science and Data Analytics Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

This straightforward Data Science and Data Analytics Course teaches you how to clean and organise real e-commerce data, develop understandable predictive models, and assess them using business-oriented metrics. You will gain hands-on knowledge in feature engineering, time-based validation, and model stability checks, then transform insights into straightforward recommendations, repeatable reports, and dashboards that support data-driven decisions with real impact.

Elevify advantages

Develop skills

  • Build predictive models: develop business-useful scores and straightforward risk indicators.
  • Clean BI data quickly: sort out IDs, outliers, missing values, and generate RFM features.
  • Turn analytics into action: plan tests, KPIs, and effective BI strategies.
  • Communicate insights clearly: prepare executive presentations, audit-ready notebooks, and BI dashboards.
  • Monitor data quality: set up tracking, schemas, and governance for solid BI.

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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