Complete Python with AI Skills to Get Your Dream IT Job
★ 4.6 rated · $9.99
PySpark tutorial with 40+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!
$9.99 with coupon (list $99.99 — save $90.00, 90% off)
Coupon Verified: November 14, 2025 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Taming Big Data with Apache Spark 4 and Python - Hands On! on Udemy is $99.99. With the coupon code on this page, that falls to $9.99 — a saving of $90.00, or 90% off the standard rate Spread across 9h of on-demand video, that works out to roughly $1.11 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Frank Kane and Sundog Education by Frank Kane and Sundog Education Team walk you through use DataFrames and Structured Streaming in Spark 4, use the MLLib machine learning library to answer common data mining questions, and understand how Spark Streaming lets your process continuous streams of data in real time — skills meant to be used, not just watched. It has already been taken by 111,578 students and holds a 4.5-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Access to a personal computer. This course uses Windows, but the sample code will work fine on Linux as well.; Some prior programming or scripting experience. Python experience will help a lot, but you can pick it up as we go.. Best suited to learners who already have footing in Development. Plan for roughly 9h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Taming Big Data with Apache Spark 4 and Python - Hands On! — taken from the official Udemy syllabus for Development learners.
Use DataFrames and Structured Streaming in Spark 4.
Use the MLLib machine learning library to answer common data mining questions.
Understand how Spark Streaming lets your process continuous streams of data in real time.
Frame big data analysis problems as Spark problems.
Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN.
Install and run Apache Spark on a desktop computer or on a cluster.
Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's.
Implement iterative algorithms such as breadth-first-search using Spark.
What you need before enrolling in Taming Big Data with Apache Spark 4 and Python - Hands On! — prerequisites as listed by the instructor on Udemy.
Access to a personal computer. This course uses Windows, but the sample code will work fine on Linux as well.
Some prior programming or scripting experience. Python experience will help a lot, but you can pick it up as we go.
The full official description of Taming Big Data with Apache Spark 4 and Python - Hands On! — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on November 14, 2025.
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