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Power BI and Python Course

4/5
Power BI and Python Course
4.0 in rating
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches cleaning and preparing retail data, managing missing values and outliers using Python in Power Query, and creating precise KPIs for dashboards. Learners will develop strong customer, product, store, and time features, implement basic predictive models, craft interactive reports, and document processes for reliable, explainable insights supporting confident decisions.

Elevify advantages

Develop skills

  • Build retail KPI dashboards with quick sales, margin, and conversion views in Power BI.
  • Clean, impute, and engineer retail features using Python directly in Power Query.
  • Apply simple Python predictive models and illustrate impacts via clear visuals.
  • Design interactive BI reports featuring slicers, layouts, and pages for swift decisions.
  • Master complete BI workflow: link CSVs, model data, and deliver production-ready PBIX files.

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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