95% off Taming Big Data with Apache Spark – Hands On! (Coupon)

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Coupon & course info

Course Name: Taming Big Data with Apache Spark – 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: $89 (before discount)

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

Review info & popularity

As of February 16, 2016…

Students: 4,254 students enrolled

Ratings: 118 reviews

Rank: ranked #8 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.

(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

95% off Taming Big Data with MapReduce and Hadoop – Hands On! (Coupon)

Taming Big Data with MapReduce and Hadoop - Hands On! - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

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

95% off Data Science and Machine Learning with Python – Hands On! (Coupon)

Data Science and Machine Learning with Python - Hands On! - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Data Science and Machine Learning with Python – Hands On!

Subtitle: Become a data scientist in the tech industry! Comprehensive data mining and machine learning course with Python & Spark.

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

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $129 (before discount)

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

Review info & popularity

As of February 19, 2016…

Students: 953 students enrolled

Ratings: 19 reviews

Rank: ranked #82 in Udemy Business Courses

Brief course description

Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists in the tech industry – and prepare you for a move into this hot career path. This comprehensive course includes 68 lectures spanning almost 9 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice. I’ll draw on my 9 years of experience at Amazon and IMDb to guide you through what matters, and what doesn’t.

(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: 70 lessons

Duration: 9 Hours of video

What you get: Extract meaning from large data sets using a wide variety of machine learning, data mining, and data science techniques with the Python programming language.

Target audience: Software developers or programmers who want to transition into the lucrative data science career path will learn a lot from this course.

Requirements: You’ll need a desktop computer (Windows, Mac, or Linux) capable of running Enthought Canopy 1.6.2 or newer. The course will walk you through installing the necessary free software.

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

95% off Taming Big Data with Apache Spark and Python – Hands On! (Coupon)

Taming Big Data with Apache Spark and Python - Hands On! - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

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

95% off Taming Big Data with Spark Streaming and Scala – Hands On! (Coupon)

Taming Big Data with Spark Streaming and Scala - Hands On! - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Taming Big Data with Spark Streaming and Scala – Hands On!

Subtitle: Learn to process massive streams of data in real time on a cluster with Spark Streaming.

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

Category: Business

Subcategory: Data & Analytics

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: 1030 students enrolled

Ratings: 169 reviews

Rank: ranked #26a in Udemy Business Courses

Brief course description

“Big Data” analysis is a hot and highly valuable skill. Thing is, “big data” never stops flowing! Spark Streaming is a new and quickly developing technology for processing massive data sets as they are created – why wait for some nightly analysis to run when you can constantly update your analysis in real time, all the time? Whether it’s clickstream data from a big website, sensor data from a massive “Internet of Things” deployment, financial data, or something else – Spark Streaming is a powerful technology for transforming and analyzing that data right when it is created, all the time.

This course gets your hands on to some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You’ll write and run real Spark Streaming jobs right at home on your own PC, and toward the end of the course, we’ll show you how to take those jobs to a real Hadoop cluster and run them in a production environment too.

Across over 30 lectures and almost 6 hours of video content, you’ll:

(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: 34 lessons

Duration: 5.5 hours of video

What you get: Process massive streams of real-time data using Spark Streaming

Target audience: Students with some prior programming or scripting ability SHOULD take this course.

Requirements: To follow along with the examples, you’ll need a personal computer. The course is filmed using Windows 10, but the tools we install are available for Linux and MacOS 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

95% off Apache Spark with Scala – Hands On with Big Data! (Coupon)

Apache Spark with Scala - Hands On with Big Data! - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Apache Spark with Scala – Hands On with Big Data!

Subtitle: Dive right in with 20+ 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: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $25 (before discount)

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

Review info & popularity

As of August 12, 2016…

Students: 366 students enrolled

Ratings: 27 reviews

Rank: ranked #79c in Udemy Business 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.

Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: “Taming Big Data with Apache Spark and Python – Hands On”.

Learn and master the art of framing data analysis problems as Spark problems through over 20 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: 47 lessons

Duration: 7 hours of video

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

Target audience: Software engineers who want to expand their skills into the world of big data processing on a cluster

Requirements: 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.

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

95% off Apache Spark 2.0 with Scala – Hands On with Big Data! (Coupon)

Apache Spark 2.0 with Scala - Hands On with Big Data! - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Apache Spark 2.0 with Scala – Hands On with Big Data!

Subtitle: Dive right in with 20+ 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: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $90 (before discount)

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

Review info & popularity

As of September 8, 2016…

Students: 1227 students enrolled

Ratings: 137 reviews

Rank: ranked #29d in Udemy Business Courses

Brief course description

New! Updated for Spark 2.0.0.

“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.

Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: “Taming Big Data with Apache Spark and Python – Hands On”.

(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: 52 lessons

Duration: 7.5 hours of video

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

Target audience: Software engineers who want to expand their skills into the world of big data processing on a cluster

Requirements: 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.

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

95% off The Ultimate Hands-On Hadoop – Tame your Big Data! (Coupon)

The Ultimate Hands-On Hadoop - Tame your Big Data! - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: The Ultimate Hands-On Hadoop – Tame your Big Data!

Subtitle: Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume – the list goes on! Over 25 technologies.

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

Category: Business

Subcategory: Skills

Provided by: Udemy

Price: $180 (before discount)

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

Review info & popularity

As of April 29, 2017…

Students: 4940 students enrolled

Ratings: 509 reviews

Rank: ranked #6g in Udemy Business Courses

Brief course description

The world of Hadoop and “Big Data” can be intimidating – hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you’ll not only understand what those systems are and how they fit together – but you’ll go hands-on and learn how to use them to solve real business problems!

Learn and master the most popular big data technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We’ll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.

Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.

(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: 95 lessons

Duration: 14.5 hours of video

What you get: Design distributed systems that manage “big data” using Hadoop and related technologies.

Target audience: Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend “big data” at scale.

Requirements: You will need access to a PC running 64-bit Windows, MacOS, or Linux with an Internet connection, if you want to participate in the hands-on activities and exercises. You must have at least 8GB of RAM on your system; 10GB or more is recommended. If your PC does not meet these requirements, you can still follow along in the course without doing hands-on activities.

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