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, 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).
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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 instructor 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$199.99-95%
Rating
4.5(111.6k)
4.5(728)
Duration9h15h 30m
CouponBLACK_...JULIO-...
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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

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Development. Taught by Frank Kane, Sundog Education by Frank Kane, Sundog Education Team on Udemy, the 9h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

Pros

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

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 90% price reduction and verified 4.5-star rating, Taming Big Data with Apache Spark 4 and Python - Hands On! is a strong value in Development on Udemy. Enrollment recommended while the coupon is active."

Final Verdict: Worth It
Exceptional value with current pricing
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.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.

Instructor Profile

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

FK
Frank Kane, Sundog Education by Frank Kane, 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 focused on real-world application of Development skills. This course provides structured progression from foundational concepts to advanced techniques.

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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