Coupon & course info
Course Name: Machine Learning for Data Science
Subtitle: A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.
Instructor: Taught by Mr. David Valentine, The Backyard Data Scientist
Subcategory: Data & Analytics
Provided by: Udemy
Price: $95 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of January 2, 2017…
Students: 3178 students enrolled
Ratings: 40 reviews
Rank: ranked #173f in Udemy Business Courses
Brief course description
Course Launched On Nov 11/2016!
Thank you all for the huge response to this emerging course! We are delighted to have over 2300 students in over 102 different countries and for the overwhelmingly positive and thoughtful reviews. It’s such a privilege to share this important topic with everyday people in a clear and understandable way.
Unlock the secrets of understanding Machine Learning for Data Science!
(Read more about this course on the official course page.)
Mr. David Valentine bio
Mr. David Valentine is an decorated Enterprise Architect with over seventeen years of experience in enterprise computing environments. He currently works for the Province of Manitoba, in Canada where he is a responsible for the architecture of the Server and Mainframe compute environment.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: Beginner Level
Lectures: 38 lessons
Duration: 3 hours of video
What you get: Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.
Target audience: Before you load Python, Before you start R – you need this course. This introductory course will introduce you to the Fundamentals, that you need before you start getting “Hands on”.
Requirements: A passion to learn, and basic computer skills!
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