Every price and rating checked against the provider 636 courses Free counselling
HomeData Analytics CoursesPL-300 certification prep: Microsoft Power BI Data Analyst
Free Udemy

PL-300 certification prep: Microsoft Power BI Data Analyst

Learn skills for Microsoft PL-300 certification using the free Power BI Desktop. Power Query, DAX, M.

PL-300 certification prep: Microsoft Power BI Data Analyst is a beginner-level online course from Udemy in Data Analytics. It is structured in 20 modules with 6 stated learning outcomes, over 28 hours. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 38.6K ratings on Udemy, with 20 enrolled.

Part of our Data Analytics courses collection, where we compare it against 18 other courses.

★★★★★4.6(38.6K reviews) 20 learners English

Course highlights

Provider Udemy
Duration 28 hours
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.6★ (38.6K reviews)
Learners 20
Price Free Free

What you’ll learn

Download for free and install and run the full version of Power BI Desktop, the BI and analysis software.
Be able to create analyses, such as line charts, stacked bar charts, or geographic analyses using maps.
You will be able to format numbers and dates, and add labels, tooltips and animation.
You will be able to Get and Transform multiple sources of data, including merging multiple files from a folder, pivoting and unpivotting.
Building and refine models, including adding calculated columns and measures.
You will learn the important M and DAX functions, to enable you to build your own formulas.

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 28 hours.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Thing

What this course covers

20 modules

The 20-part outline Udemy publishes for this course, across 28 hours.

Module 1 · Introduction
Module 2 · Part 1 Level 1: Creating and formatting a table visualization
Module 3 · Part 1 Level 2: Formatting our first visualization
Module 4 · Part 1 Level 3: Creating different visualizations: Matrices and bar charts
Module 5 · Part 1 Level 4: Adding more control to your visualizations - Filters and slicers
Module 6 · Part 1 Level 4b: Sort, small multiples, bookmarks and the Selection Pane
Module 7 · Part 1 Level 4c: Drillthrough, Buttons and Tooltip Pages
Module 8 · Part 1 Level 5: Other visualizations
Module 9 · Part 1 Level 6: Mapping
Module 10 · Part 1 Level 7: Measure performance by using KPIs, gauges and cards
Module 11 · Part 1 Level 8a: Identify patterns, trends and Other Visualization Items: Part 1
Module 12 · Part 1 Level 8b: Identify patterns, trends and Other Visualization Items: Part 2
Module 13 · Part 1 Level 8c: Identify patterns, trends and Other Visualization Items: Part 3
Module 14 · Additional videos - Visualize and Analyze the Data
Module 15 · End of Part 1
Module 16 · Part 2 Get and Transform Data: Level 1 - Home Part 1
Module 17 · Part 2 Level 1 - Get Data - Home
Module 18 · Part 2 Level 2 - Getting Multiple files
Module 19 · Part 2 Level 3 - Transform Menu
Module 20 · Part 2 Level 4 - Transform - Text and Numbers

What learners rate it

4.6
★★★★★
38.6K ratings

Rated 4.6/5 by 38.6K 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 →

How this page is put together

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
PL-300 certification prep: Microsoft Power BI Data Analyst This Udemy 4.6★ Free 28 hours Free — and still gives a certificate
Introduction to Data Analytics Coursera 4.8★ Check price 11h 38m Highest rated (4.8★ from 20.8K reviews)
AWS Cloud Practitioner Essentials Coursera 4.8★ Check price 35h 48m Beginner-friendly · 35h 48m
ChatGPT Advanced Data Analysis Coursera 4.8★ Check price 10h 52m Quickest to finish (10h 52m)
See all Data Analytics courses →

Where Data Analytics leads

Roles we map to Data Analytics on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.

Data Analyst

Browse every course we track for one of these — courses for data analysts.

Common questions

Is PL-300 certification prep: Microsoft Power BI Data Analyst 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 PL-300 certification prep: Microsoft Power BI Data Analyst come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does PL-300 certification prep: Microsoft Power BI Data Analyst take?

Udemy lists it at 28 hours. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is PL-300 certification prep: Microsoft Power BI Data Analyst suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does PL-300 certification prep: Microsoft Power BI Data Analyst cover?

It is organised into 20 modules, starting with Introduction and going on to Part 1 Level 1: Creating and formatting a table visualization, Part 1 Level 2: Formatting our first visualization, Part 1 Level 3: Creating different visualizations: Matrices and bar charts, Part 1 Level 4: Adding more control to your visualizations - Filters and slicers, among others. The full outline is on this page.