Searching for an ETL testing full course usually means one thing: you're tired of piecing together 10-minute YouTube clips and want one structured path from "what is ETL?" to "I can test a real pipeline." This page lays out the complete syllabus of our course — all 21 sections and 79 lectures — so you can see exactly what you'd learn before you spend anything.
What a Full ETL Testing Course Should Include
A course only deserves the word "full" if it covers all five layers an ETL tester uses on the job:
- Data foundations — databases, SQL, data warehouse concepts, facts and dimensions, and data quality rules.
- ETL testing concepts — source-to-target validation, row counts, transformation checks, duplicates, NULLs and data validation.
- Hands-on transformation — actually building and breaking an ETL flow so you know where bugs hide.
- Automation — scripting repeatable checks instead of re-running SQL by hand (see ETL testing automation).
- Projects and career prep — a real scenario you can explain in interviews.
Many short courses stop after layer 2. That's enough to pass a quiz, not enough to pass an interview.
The Full Syllabus: 21 Sections, 79 Lectures
Here is the syllabus of ETL Testing: From Beginners to Advanced, grouped by topic. Section numbers match the order on Udemy. Total video time is about 6.5 hours.
| # | Section | Length |
|---|---|---|
| Foundations | ||
| 11 | Introduction to Database | 2 lectures · 38 min |
| 12 | Data Warehouse Basics | 6 lectures · 28 min |
| 14 | Dimension Modeling | 1 lecture · 8 min |
| 15 | What is Data Quality | 2 lectures · 9 min |
| 18 | ETL Testing Basic Concepts | 5 lectures · 34 min |
| Hands-on ETL | ||
| 03 | ETL With Python Hands-on Transformation | 17 lectures · 57 min |
| 04 | Titanic Dataset Exploratory Data Analysis | 5 lectures · 18 min |
| 05 | Data Visualization after ETL Transformation | 4 lectures · 15 min |
| 08 | ETL With Power Query Hands-on Transformation | 8 lectures · 28 min |
| 10 | How to Perform Descriptive Data Analysis | 1 lecture · 6 min |
| Projects & real-world practice | ||
| 06 | Final Assignment ETL | 1 lecture · 6 min |
| 07 | Real Time ETL Testing Scenario | 1 lecture · 15 min |
| 09 | Final Hands-on ETL Assignments | 1 lecture · 16 min |
| AI & automation | ||
| 13 | ETL Testing with Claude AI | 2 lectures · 22 min |
| 16 | Data Analysis with Google Gemini | 7 lectures · 30 min |
| 17 | Data Analysis with Claude AI | 2 lectures · 11 min |
| 20 | Introduction to Functional Automation Tools | 1 lecture · 8 min |
| 21 | Introduction to n8n AI Automation | 3 lectures · 12 min |
| Career | ||
| 01 | Introduction | 8 lectures · 25 min |
| 02 | How to Become an ETL Tester | 2 lectures · 5 min |
| 19 | Tips & Tricks | 1 lecture · 8 min |
Python gets the most time (17 lectures) because it's what turns a manual tester into someone who can automate checks. If you're new to it, our Python ETL testing workflow post shows the kind of code you'll write.
Projects You Build in the Full Course
- Python transformation project — clean, transform and validate a dataset end to end, then compare source and target.
- Titanic exploratory analysis — profile a real dataset to find missing values, outliers and type problems before they reach a warehouse.
- Power Query ETL — the same ideas in a no-code tool many business teams already use.
- Real-time ETL testing scenario — walk through how testing works on an actual project, which is the story you'll tell in interviews.
- AI-assisted testing — use Claude and Gemini to generate test cases and analyse data faster (more in ETL testing with Claude AI).
How Long the Full Course Takes
| Pace | Video + practice | Finish in |
|---|---|---|
| 1 hour a day | Watch one or two sections, redo the exercises | About 4–5 weeks |
| 2 hours a day | Watch, practise, and start your own project | About 2–3 weeks |
| Weekends only | 4–5 hours each weekend | About 5–6 weeks |
The 6.5 hours of video is the minimum. Practice is where the learning happens — plan on roughly three hours of hands-on work for every hour you watch.
Full Course vs Scattered Free Videos
| Free videos | Full course | |
|---|---|---|
| Order | You decide what to watch next | Built so each section uses the last |
| Gaps | Easy to miss DWH or automation | Foundations to AI covered in one place |
| Projects | Rare | Assignments plus a real-time scenario |
| Cost | Free | $10.99 with lifetime access |
Free material is a great way to check if you like the field — we list the best in free ETL testing course online. Once you're sure, a full course saves weeks of guessing what to learn next.
Who This Full Course Is For
- Complete beginners — start with ETL testing for beginners if you want a preview.
- Manual testers moving into data — see manual tester to ETL tester.
- Students and freshers who need a project for their resume.
What it does not cover: enterprise ETL tools like Informatica or cloud warehouses like Snowflake. Add those after the course if your target jobs ask for them — see Informatica PowerCenter training.
Compare ETL testing course options: full course syllabus · ETL testing for beginners · training online · course online · course fees · certification
Frequently Asked Questions
Is there an ETL testing full course online?
Yes. ETL Testing: From Beginners to Advanced on Udemy is a full course with 21 sections and 79 lectures covering databases, data warehousing, ETL testing concepts, Python, Power Query, real projects and AI tools.
How many hours is the ETL testing full course?
About 6.5 hours of video. With practice, most learners finish in 2 to 5 weeks depending on how many hours a day they study.
Does the full course include projects?
Yes. It includes a Python transformation project, an exploratory analysis of the Titanic dataset, Power Query ETL exercises, final hands-on assignments and a real-time ETL testing scenario.
Do I need coding experience for the ETL testing full course?
No. The course starts with database and data warehouse basics. Python is taught hands-on from the start of that section, so you don't need prior coding experience.
Does the full course cover Informatica?
No. It focuses on concepts, Python, Power Query and AI tools that work with any ETL tool. Learn Informatica separately if your target jobs require it.
Asim Noaman Lodhi
Certified Google Partner · QA Consultant · 12+ Years IT
QA consultant specializing in ETL testing and data quality. Trained 913+ students to transition into data testing roles through hands-on, real-world instruction.