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Coupon & course info

Course Name: Taming Big Data with Apache Spark and Python – Hands On!

Subtitle: Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!

Instructor: Taught by Frank Kane, Data Miner and Software Engineer

Category: Development

Subcategory: Software Engineering

Provided by: Udemy

Price: $25 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of July 11, 2016…

Students: 6551 students enrolled

Ratings: 927 reviews

Rank: ranked #11a in Udemy Development Courses

Brief course description

“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.

Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course.

By the end of this course, you’ll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes.

(Read more about this course on the official course page.)

Frank Kane bio

Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 46 lessons

Duration: 5 hours of video

What you get: Frame big data analysis problems as Spark problems

Target audience: People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but that’s not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you.

Requirements: Access to a personal computer. This course uses Windows, but the sample code will work fine on Linux as well.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons