Apache Spark with Scala - Hands On with Big Data! — 90% Off Coupon

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!

4.5 103,066 students enrolledCreated by Frank Kane, Sundog Education by Frank Kane, Sundog Education TeamLast updated: 🌐 English

Course Overview — Key Details

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Course Title: Apache Spark with Scala - Hands On with Big Data!
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: Big Data
Duration: 9h of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: Develop distributed code using the Scala programming language · Transform structured data using SparkSQL, DataSets, and DataFrames · Frame big data analysis problems as Apache Spark scripts
Prerequisites: Some prior programming or scripting experience is required. A crash course in Scala is included, but you need to know the fundamentals of programming in order to pick it up. · You will need a desktop PC and an Internet connection. The course is created with Windows in mind, but users comfortable with MacOS or Linux can use the same tools.
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What You'll Learn

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

Develop distributed code using the Scala programming language.
Transform structured data using SparkSQL, DataSets, and DataFrames.
Frame big data analysis problems as Apache Spark scripts.
Optimize Spark jobs through partitioning, caching, and other techniques.
Build, deploy, and run Spark scripts on Hadoop clusters.
Process continual streams of data with Spark Streaming.
Traverse and analyze graph structures using GraphX.
Analyze massive data set with Machine Learning on Spark.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

Some prior programming or scripting experience is required. A crash course in Scala is included, but you need to know the fundamentals of programming in order to pick it up.
You will need a desktop PC and an Internet connection. The course is created with Windows in mind, but users comfortable with MacOS or Linux can use the same tools.
The software needed for this course is freely available, and I'll walk you through downloading and installing it.

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 Apache Spark with Scala - Hands On with Big Data! Coupon Worth It?

Apache Spark with Scala - Hands On with Big Data! 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 103,066 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 (103,066 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
103,066 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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