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Introduction to Big Data with PySpark

See how big data is used across different industries and learn how to work with big data using PySpark!

Introduction to Big Data with PySpark is a beginner-level online course from Codecademy in Big Data. It is structured in 4 modules with 3 stated learning outcomes, over 4h. It is free to enrol, and a certificate is available on completion. Learners rate it 4.4/5 from 319 ratings on Codecademy.

Part of our Big Data courses collection, where we compare it against 1 other course.

★★★★★4.4(319 reviews) English

Course highlights

Provider Codecademy
Duration 4h
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.4★ (319 reviews)
Price Free

What you’ll learn

Handle big data using PySpark
Understand big data applications in various fields
Learn the concepts that make big data analysis possible

Level and time commitment

Codecademy 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: 4h.
It is self-paced, so that figure is the material, not a fixed schedule.

What this course covers

4 modules

The 4-part outline Codecademy publishes for this course, across 4h.

Module 1 · Introduction to Big Data
Module 2 · Spark RDDs with PySpark
Module 3 · Spark DataFrames with PySpark SQL
Module 4 · Putting it all together

What learners rate it

4.4
★★★★★
319 ratings

Rated 4.4/5 by 319 learners on Codecademy (checked 26 Aug 2026).

This rating is collected by Codecademy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Codecademy →

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 Codecademy 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
Introduction to Big Data with PySpark This Codecademy 4.4★ Free 4h Quickest to finish (4h)
Apache Kafka Series - Learn Apache Kafka for Beginners v3 Udemy 4.6★ Free Free — and still gives a certificate
See all Big Data courses →

Common questions

Is Introduction to Big Data with PySpark free?

Yes. Codecademy 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 Introduction to Big Data with PySpark come with a certificate?

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

How long does Introduction to Big Data with PySpark take?

Codecademy lists it at 4h. 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 Introduction to Big Data with PySpark suitable for beginners?

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

What does Introduction to Big Data with PySpark cover?

It is organised into 4 modules, starting with Introduction to Big Data and going on to Spark RDDs with PySpark, Spark DataFrames with PySpark SQL, Putting it all together. The full outline is on this page.