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 out of 5(111,578 students enrolled)Created by Frank Kane, Sundog Education by Frank Kane, and Sundog Education TeamLast updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•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 14, 2025
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Python
•Duration: 9h of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•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.
•Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Development:

✓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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

•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

The following is the full official course description as published on Udemy by instructors Frank Kane, Sundog Education by Frank Kane, Sundog Education Team. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$9.99$99.99-90%
$9.99$159.99-94%
Rating
4.5(111.6k)
4.6(71.4k)
Duration9h17h 30m
CouponBLACK_...INDEPE...
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Is the Taming Big Data with Apache Spark 4 and Python - Hands On! Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Nov 14, 2025

The short answer is yes — provided the Development skills this course teaches actually line up with what you want to build. The regular price for Taming Big Data with Apache Spark 4 and Python - Hands On! on Udemy is $99.99. The coupon code listed on this page drops that 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 — less than the cost of a single chapter of most printed development textbooks.

A discount is only worth something if the material delivers, and the curriculum here is built around practical 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 — concrete skills you can apply, not abstract theory. It has already been taken by 111,578 students and holds a 4.5-star average from verified reviews, which is a reasonable sign the content holds up in practice.

The bar to entry is low: 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.. That makes it a realistic choice even if Development is unfamiliar territory. In practical terms, expect around 9h of on-demand video to work through at your own pace. The material is presented in English.

Pros

  • ✓Verified 90% price reduction.
  • ✓High learner satisfaction (4.5/5).
  • ✓Trusted by 111,578 students.
  • ✓Certificate + lifetime access.

Cons

  • !The coupon is time-limited — once it expires, the price tends to revert toward the standard $99.99.
  • !Lifetime access is tied to Udemy staying online; the platform can change its policies.
  • !Budget for the exercises and quizzes too — they add real time on top of the 9h of video.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"At roughly $1.11 an hour of video, Taming Big Data with Apache Spark 4 and Python - Hands On! is priced sensibly for what it actually covers — use DataFrames and Structured Streaming in Spark 4 and beyond. If Development is on your roadmap and you value the 4.5-star track record, this coupon is worth using while it's still valid."

✓
Final Verdict: Worth It
Saves you $90.00 against the standard Udemy price
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified November 14, 2025.At $9.99 you save $90.00 compared to the standard $99.99 price, and Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.5 out of 5 based on 111,578 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

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

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: November 14, 2025.

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Instructor Profiles

Background information on Frank Kane, Sundog Education by Frank Kane, Sundog Education Team, the instructors responsible for this course on Udemy.

FK
Frank Kane
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
111,578+ enrolled
Rating
4.5 / 5.0
Course Duration
9h
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.
SE
Sundog Education by Frank Kane
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
111,578+ enrolled
Rating
4.5 / 5.0
Course Duration
9h
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.
SE
Sundog Education Team
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
111,578+ enrolled
Rating
4.5 / 5.0
Course Duration
9h
Teaching Approach
Practical, project-based instruction built around real-world application of Development skills, with hands-on exercises and quizzes to reinforce each section.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of November 14, 2025.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

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