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PySpark - Apache Spark Programming for Beginners (2026)

PySpark - Apache Spark Programming for Beginners (2026) is a beginner-level online course from Udemy in Python. It is structured in 14 modules with 7 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 17.3K ratings on Udemy, with 109.6K enrolled.

Part of our Python courses collection, where we compare it against 51 other courses.

★★★★★4.6(17.3K reviews) 109.6K learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.6★ (17.3K reviews)
Learners 109.6K
Price Free Free

What you’ll learn

Apache Spark Programming in Python (PySpark)
Spark Programing in Databricks Free Account
Working with Data Frames Transformations and Actions
Handling Schema and working with different data types
Working with Complex Data Types, Aggregation, Joins and UDF
Working with Data Sources and Sinks
Unit Testing and Data Engineering Techniques

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.

Skills you’ll gain

Thing

What this course covers

14 modules

The 14-part outline Udemy publishes for this course.

Module 1 · Understanding Big Data and Distributed Data Processing
Module 2 · Introduction to Apache Spark
Module 3 · Getting Started with Spark Programming
Module 4 · Spark Data Types and Schema
Module 5 · Dataframe Transformations
Module 6 · Working with different data types
Module 7 · Joins in Spark Dataframe
Module 8 · Aggregations in Spark Dataframe
Module 9 · UDF and Unit Testing
Module 10 · Spark On Your Laptop IDE
Module 11 · Spark Execution Model - Old Videos
Module 12 · Spark Programming Model and Developer Experience - Old Videos
Module 13 · Capstone Project
Module 14 · Keep Learning

What learners rate it

4.6
★★★★★
17.3K ratings

Rated 4.6/5 by 17.3K learners on Udemy (checked 28 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 28 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
PySpark - Apache Spark Programming for Beginners (2026) This Udemy 4.6★ Free Free — and still gives a certificate
Python Data Structures Coursera 4.9★ Check price 19h 50m Highest rated (4.9★ from 97.3K reviews)
Python for Everybody Specialization Coursera 4.8★ ₹3,999 2 months Most popular — 2M learners
AI Python for Beginners Coursera 4.8★ Check price 17h 30m Quickest to finish (17h 30m)
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Where Python leads

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

Data Scientist

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Common questions

Is PySpark - Apache Spark Programming for Beginners (2026) 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 PySpark - Apache Spark Programming for Beginners (2026) come with a certificate?

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

Is PySpark - Apache Spark Programming for Beginners (2026) suitable for beginners?

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

What does PySpark - Apache Spark Programming for Beginners (2026) cover?

It is organised into 14 modules, starting with Understanding Big Data and Distributed Data Processing and going on to Introduction to Apache Spark, Getting Started with Spark Programming, Spark Data Types and Schema, Dataframe Transformations, among others. The full outline is on this page.