Taming Big Data with Apache Spark 4 and Python - Hands On! — 90% Off Coupon

PySpark tutorial with 40+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!

4.5 111,578 students enrolledCreated by Frank Kane, Sundog Education by Frank Kane, Sundog Education TeamLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Taming Big Data with Apache Spark 4 and Python - Hands On!
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Frank Kane, Sundog Education by Frank Kane, Sundog Education Team
•Coupon Verified On: November 13, 2025
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Python
•Duration: 9h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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
•Prerequisites: 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.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.
✓Understand how Spark SQL lets you work with structured data.
✓Tune and troubleshoot large jobs running on a cluster.
✓Share information between nodes on a Spark cluster using broadcast variables and accumulators.
✓Understand how the GraphX library helps with network analysis problems.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•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.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Frank Kane, Sundog Education by Frank Kane, Sundog Education Team. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Frank Kane, Sundog Education by Frank Kane, Sundog Education Team
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Taming Big Data with Apache Spark 4 and Python - Hands On! Coupon Worth It?

Taming Big Data with Apache Spark 4 and Python - Hands On! is a development course offered on Udemy by instructor Frank Kane, Sundog Education by Frank Kane, Sundog Education Team, spanning 9h of on-demand content. It holds a 4.5/5 rating from over 111,578 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on November 13, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.5/5) and enrollment numbers (111,578 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of November 2025. For individual student reviews, visit the course page directly.

4.5
111,578 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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