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Data Science and Data Analytics Course

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

What will I learn?

This focused Data Science and Data Analytics Course teaches cleaning and structuring e-commerce data, developing interpretable predictive models, and assessing them using business metrics. You will master feature engineering, time-based validation, model stability checks, and convert insights into actionable recommendations, reproducible reports, and dashboards for data-driven decisions.

Elevify advantages

Develop skills

  • Build predictive models to create business-ready scores and risk signals.
  • Clean BI data quickly by fixing IDs, outliers, missing values, and creating RFM features.
  • Convert analytics into action with tests, KPIs, and high-impact BI playbooks.
  • Communicate insights clearly using executive decks, audit-ready notebooks, and BI dashboards.
  • Monitor data quality through tracking, schemas, and governance for robust BI.

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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