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Coupon & course info

Course Name: Taming Big Data with MapReduce and Hadoop – Hands On!

Subtitle: Learn MapReduce fast by building over 10 real examples, using Python, MRJob, and Amazon’s Elastic MapReduce Service.

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

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $89 (before discount)

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

Review info & popularity

As of February 19, 2016…

Students: 4194 students enrolled

Ratings: 11110 reviews

Rank: ranked #13 in Udemy Business Courses

Brief course description

“Big data” analysis is a hot and highly valuable skill – and this course will teach you two technologies fundamental to big data quickly: MapReduce and Hadoop. Ever wonder how Google manages to analyze the entire Internet on a continual basis? You’ll learn those same techniques, using your own Windows system right at home.

Learn and master the art of framing data analysis problems as MapReduce problems through over 10 hands-on examples, and then scale them up to run on cloud computing services in this course.

(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: 56 lessons

Duration: 5.5 Hours of video

What you get: Understand how MapReduce can be used to analyze big data sets

Target audience: This course is best for students with some prior programming or scripting ability. We will treat you as a beginner when it comes to MapReduce and getting everything set up for writing MapReduce jobs with Python, MRJob, and Amazon’s Elastic MapReduce service – but we won’t spend a lot of time teaching you how to write code. The focus is on framing data analysis problems as MapReduce problems and running them either locally or on a Hadoop cluster. If you don’t know Python, you’ll need to be able to pick it up based on the examples we give. If you’re new to programming, you’ll want to learn a programming or scripting language before taking this course.

Requirements: You’ll need a Windows system, and we’ll walk you through downloading and installing a Python development environment and the tools you need as part of the course. If you’re on Linux and already have a Python development environment in place that you’re familiar with, that’s OK too. Again, be sure you have at least some programming or scripting experience under your belt. You won’t need to be a Python expert to succeed in this course, but you’ll need the fundamental concepts of programming in order to pick up what we’re doing.

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