Udemy
Microsoft DP-700 prep: Fabric Data Engineer Associate
Learn PySpark, SQL, KQL and Fabric for DP-700 exam.
Microsoft DP-700 prep: Fabric Data Engineer Associate is a beginner-level online course from Udemy in Data Engineering. It is structured in 20 modules with 4 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 2.8K ratings on Udemy, with 20 enrolled.
Part of our Data Engineering courses collection, where we compare it against 5 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (2.8K reviews) |
| Learners | 20 |
| 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 · A look around Fabric
Module 3 · Using Dataflow Gen2
Module 4 · * Transforming data using Dataflow Gen2
Module 5 · 25a. Transforming data by using Power Query (M) - not needed from 20 April 2026
Module 6 · Using pipelines
Module 7 · 17. Loading and saving data using notebooks
Module 8 · 25, 40. Manipulating dataframes - choosing columns and rows
Module 9 · 25, 40. Converting data types, aggregating and sorting dataframes
Module 10 · 40. Transform data in a lakehouse
Module 11 · Improving notebook performance and automating notebooks
Module 12 · Creating objects
Module 13 · Optimize performance in notebooks
Module 14 · Transform data in a data warehouse
Module 15 · Creating incremental data loads
Module 16 · Manage and Optimize Data Warehouses
Module 17 · * Creating an eventhouse
Module 18 · * 25, 32. Selecting, filtering and aggregating data using KQL
Module 19 · * 25, 32. KQL Functions
Module 20 · * 25, 32. Transforming data using KQL
What learners rate it
Rated 4.6/5 by 2.8K 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 |
|---|---|---|---|---|---|
| Microsoft DP-700 prep: Fabric Data Engineer Associate This |
Udemy
|
4.6★ | Free | Free — and still gives a certificate | |
| Azure Data Engineer MasterClass: DP-600 & DP-700 |
Udemy
|
4.7★ | Free | Highest rated (4.7★ from 1.5K reviews) | |
| Azure Data Engineering End-to-end Course 2026 (English) |
Udemy
|
4.6★ | Free | Free — certificate included | |
| Python and Pandas for Data Engineering |
 Coursera
|
4.6★ | Check price | 52h 12m | Quickest to finish (52h 12m) |
Common questions
Is Microsoft DP-700 prep: Fabric Data Engineer Associate 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 Microsoft DP-700 prep: Fabric Data Engineer Associate come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
Is Microsoft DP-700 prep: Fabric Data Engineer Associate suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Microsoft DP-700 prep: Fabric Data Engineer Associate cover?
It is organised into 20 modules, starting with Introduction and going on to A look around Fabric, Using Dataflow Gen2, * Transforming data using Dataflow Gen2, 25a. Transforming data by using Power Query (M) - not needed from 20 April 2026, among others. The full outline is on this page.