Power BI and Tableau for Data Visualization [2-in-1 Bundle]
Power BI and Tableau for Data Visualization [2-in-1 Bundle] is a beginner-level online course from Udemy in Data Visualization. It is structured in 20 modules with 8 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 716 ratings on Udemy, with 20.5K enrolled.
Part of our Data Visualization courses collection, where we compare it against 4 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (716 reviews) |
| Learners | 20.5K |
| Price | Free Free |
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
20 modulesThe 20-part outline Udemy publishes for this course.
Module 1 · Introduction
Module 2 · Installation and Setting up Power BI Desktop
Module 3 · Connecting Power BI to different Data Sources
Module 4 · Preparing and Manipulating data using Power Query
Module 5 · Adding new columns using Power Query
Module 6 · Creating a data model using relationships
Module 7 · Creating Charts and Visuals in Power BI
Module 8 · Advanced Charts
Module 9 · Data analysis using DAX
Module 10 · Creating Beautiful and Interactive Reports in Power BI
Module 11 · TABLEAU STARTS HERE!
Module 12 · Installation and getting started With Tableau
Module 13 · Combining data to create Data model
Module 14 · Data categorization in Tableau
Module 15 · Most used charts
Module 16 · Customizing charts using Marks shelf
Module 17 · Other important charts
Module 18 · Grouping and Filtering data
Module 19 · Map chart in Tableau
Module 20 · Calculations and Analytics
What learners rate it
Rated 4.6/5 by 716 learners on Udemy (checked 26 Aug 2026).
This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →
Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 26 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Power BI and Tableau for Data Visualization [2-in-1 Bundle] This |
|
4.6★ | Free | Free — and still gives a certificate | |
| Data Visualization with R |
|
4.6★ | Check price | 12h 17m | Quickest to finish (12h 17m) |
| Data Visualization with Tableau |
|
4.5★ | Check price | 1 month | Beginner-friendly · 1 month |
| Data Visualization with Python |
|
4.5★ | Check price | 18h 38m | Beginner-friendly · 18h 38m |
Where Data Visualization leads
Roles we map to Data Visualization on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.
Browse every course we track for one of these — courses for data analysts.
Common questions
Is Power BI and Tableau for Data Visualization [2-in-1 Bundle] free?
Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.
Does Power BI and Tableau for Data Visualization [2-in-1 Bundle] come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
Is Power BI and Tableau for Data Visualization [2-in-1 Bundle] suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Power BI and Tableau for Data Visualization [2-in-1 Bundle] cover?
It is organised into 20 modules, starting with Introduction and going on to Installation and Setting up Power BI Desktop, Connecting Power BI to different Data Sources, Preparing and Manipulating data using Power Query, Adding new columns using Power Query, among others. The full outline is on this page.