UDUdemy
Taming Big Data with Apache Spark and Python
Intermediate 7 hours English Course Certificate
Our recommendation
Frank Kane's concise Udemy course on Apache Spark with Python (PySpark), teaching how to process large datasets across a cluster. It is practical and hands-on, a focused introduction to big-data processing for people who already know some Python. Spark itself is free and open-source.
Skills you'll gain
Apache SparkPySparkBig dataDistributed computingData processingHadoop
Is this course right for you?
A good fit if you…
You know some Python
You work with or want to work with big data
You like hands-on learning
Consider something else if you…
You are new to Python
You only handle small datasets
You want deep distributed-systems theory
About this course
This course covers Apache Spark with PySpark from distributed computing fundamentals through production patterns: resilient distributed datasets, the DataFrame API, Spark SQL for analytical queries, MLlib for distributed machine learning, and Spark Streaming for real-time data processing.
What you'll learn
Process large datasets with PySpark's RDD and DataFrame APIs
Write Spark SQL queries for analytical processing at scale
Build distributed ML pipelines with Spark MLlib
Process streaming data with Spark Structured Streaming
Tune Spark jobs for performance with partition and memory optimization
This course includes
7h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
A paid Udemy course, usually on sale for around $12 to $20. Apache Spark is free and open-source. Lifetime access and a refund window.
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Is the certificate recognised?
Udemy completion certificate — not accredited; the skills you build matter most.
Instructor
FK
Frank Kane
Udemy instructor
200K+ learners12 courses4.5 instructor rating
Taught by Frank Kane, former Amazon engineer with extensive distributed systems experience who specializes in practical big data education.
About this provider
UD
Udemy
The world's largest online learning marketplace. 65M+ students, 210,000+ courses.
Frequently asked questions
Yes. It assumes some Python and focuses on using PySpark for big-data processing.
Yes. Apache Spark is free and open-source; only the course is a paid purchase.
Yes as a concise, practical introduction to processing large datasets with Spark and Python.
A paid Udemy course, usually on sale for around $12 to $20, with lifetime access and a refund window.
When datasets are too big for a single machine. For smaller data, tools like pandas are simpler.