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About

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! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come. So I invite you to join me, the Backyard Data Scientist on an exquisite journey into unlocking the secrets of Machine Learning for Data Science.... for you know - everyday people... like you!

Style and Approach

A 3 hour course that will help you to genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

Course Length : 2 hours 41 minutes

ISBN : 9781788620758

Requirements

Add information about the skills and knowledge students need to take this course.

Author

David Valentine

Mr. David Valentine - The Backyard Data ScientistMr. David Valentine is a 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 computer environment. Mr. Valentine has a passion for Data Science, Computer Science, Machine Learning and Data Science. As the "Backyard Data Scientist", he bring his experience and ability to simplify challenging technical topics to Data Science. He's delighted to offer the world his first course on the Udemy platform, "Machine Learning for Data Science"

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hours per week
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Free
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RPS
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Categories

Data Science(241)

Coding and Tools(37)

Admin and Cloud(380)

DevOps(78)

Programming(631)

Application Development(756)

Web Development(547)

Big Data and Analytics(709)

Soft Skills(19)

Network Security & Infrastructure(285)

Process Concepts(8)

Database(80)

Business Intelligence(22)

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