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
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
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