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Big Data & Artificial Intelligence Course

Big Data & Artificial Intelligence Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This course provides a hands-on guide to transforming retail data into actionable outcomes. You'll learn to set objectives, track KPIs, build data models, pipelines, and dashboards for digital upgrades. Dive into forecasting, customisation, optimisation, and ML ops, plus data quality, security, governance, and a roadmap for quick, scalable results.

Elevify advantages

Develop skills

  • Develop retail analytics strategy by linking business aims to precise KPI-focused queries.
  • Master foundational data architecture for designing lakes, warehouses, and pipelines suited to retail BI.
  • Apply AI and machine learning in retail for demand prediction, churn reduction, pricing, and tailored offers.
  • Create effective BI dashboards delivering executive and operational insights with reliable retail metrics.
  • Implement strong governance and data quality practices, including master data management, security, and thorough validation checks.

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'm grateful 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 and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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