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Data Science and Data Analytics Course

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

What will I learn?

This concise Data Science and Data Analytics Course shows you how to clean and structure real e-commerce data, build interpretable predictive models, and evaluate them with business-focused metrics. You will learn practical feature engineering, time-based validation, and model stability checks, then turn insights into clear recommendations, reproducible reports, and dashboards that drive measurable, data-informed decisions.

Elevify advantages

Develop skills

  • Build predictive models: create business-ready scores and clear risk signals.
  • Clean BI data fast: fix IDs, outliers, missing values, and create RFM features.
  • Turn analytics into action: design tests, KPIs, and high-impact BI playbooks.
  • Communicate insights clearly: executive decks, audit-ready notebooks, BI dashboards.
  • Monitor data quality: design 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of 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 really help with learning.
André Felipe
André FelipePrompt Engineering Student

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