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Data Science Professional Development CoursesLive Online

What are the benefits of taking a class Live Online?

Learn from world-class data science practitioners.

Our Live Online instructors bring deep industry experience from a broad range of industries and companies including Viacom, Spotify, and Capital One Labs. You’ll have an Instructor and Assistant Instructor to support you throughout your learning process.

Interact with instructors and classmates in real-time.

This course is truly live, which means you can interact with the instructors and your fellow students in real-time. Stay engaged by asking questions and participating in polls and conversations, and join your course Slack channel for additional support, communication, and collaboration.

Learn online without sacrificing the value of live instruction.

The world is your classroom. Log in from wherever you are and gain access to live, interactive data science instruction that will push your career further in the right direction. In case you have to miss a class, you can access all recordings 24/7 to stay caught up and refer back.

Earn CEUs for accredited courses.

Not only will you walk away with new data science skills and knowledge, you’ll also earn up to 3.3 Continuing Education Units (CEUs). Our courses are accredited by ACCET, who requires we maintain high standards in areas such as quality of instruction and positive student feedback.

Live Online Experience

Dates & Instructors

Live Online
$499

SQL Fundamentals

November 17 to November 18

Saturdays and Sundays

9:00 - 3:00PM Eastern Time

Gordon dri
Gordon Dri
Instructor

Gordon is currently a Data Scientist with Oracle. He has also worked in research at the University of Chicago's Harris School of Public Policy and Booth School of Business and interned as a quantitative analyst in commercial real estate investment at Magnolia Capital. He has a Master of Science in Analytics from the University of Chicago and a Bachelors of Applied Science and Engineering from the University of Toronto. Gordon thoroughly enjoys teaching and, in addition to course design and teaching at Metis, acted as a Teaching Assistant for Statistical Analysis, Data Mining and Linear and Non Linear Models in the MScA program at the University of Chicago

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Live Online
$499

SQL Fundamentals

December 3 to December 12

Mondays and Wednesdays

6:30 - 9:30PM Pacific Time

Nathan grossman
Nathan Grossman
Instructor

As a former engineer, Nathan enjoys data science because it allows him to apply the mathematical skill set he developed designing algorithms for individual products to optimize the behavior of entire organizations. Nathan began his career developing signal processing algorithms for wireless communications at Qualcomm. He subsequently worked in data analytics for intellectual property applications, and in data science for telecom applications. Nathan is currently a data scientist at Wells Fargo, working on machine learning for FinTech applications. He holds a BS in Mechanical Engineering from the University of Illinois, an MS in Electrical Engineering from the University of Michigan, and an MBA from the University of Pennsylvania’s Wharton School, as well as certificates in data science and data analytics from UC Berkeley and UC Santa Cruz. When not working, Nathan enjoys skiing, cycling, playing tennis and spending time with his wife and three sons.

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Live Online
$1,250

Beginner Python and Math for Data Science

January 14 to February 25

Mondays and Thursdays

6:30 - 9:30PM Pacific Time

Gordon dri
Gordon Dri
Instructor

Gordon is currently a Data Scientist with Oracle. He has also worked in research at the University of Chicago's Harris School of Public Policy and Booth School of Business and interned as a quantitative analyst in commercial real estate investment at Magnolia Capital. He has a Master of Science in Analytics from the University of Chicago and a Bachelors of Applied Science and Engineering from the University of Toronto. Gordon thoroughly enjoys teaching and, in addition to course design and teaching at Metis, acted as a Teaching Assistant for Statistical Analysis, Data Mining and Linear and Non Linear Models in the MScA program at the University of Chicago

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Live Online
$1,500

Introduction to Data Science

January 24 to March 4

Mondays and Thursdays

6:30 - 9:30PM Eastern Time

Instructor Coming Soon
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Live Online
$1,250

Beginner Python and Math for Data Science

February 11 to March 21

Mondays and Thursdays

6:30 - 9:30PM Central Time

Note: No lecture 2/14, rescheduled to 2/13. No lecture 2/18, rescheduled to 2/19.

Sergey fogelson
Sergey Fogelson
Instructor

Sergey Fogelson is the Vice President of Analytics and Measurement Sciences at Viacom. He began his career as an academic at Dartmouth College in Hanover, New Hampshire, where he researched the neural bases of visual category learning and obtained his Ph.D. in Cognitive Neuroscience. After leaving academia, Sergey got into the rapidly growing startup scene in the NYC metro area, where he has worked as a data scientist in alternative energy analytics, digital advertising, cybersecurity, finance, and media. He is heavily involved in the NYC-area teaching community and has taught courses at various bootcamps, and has been a volunteer teacher in computer science through TEALSK12. When Sergey is not working or teaching, he is probably hiking. (He thru-hiked the Appalachian trail before graduate school).

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Live Online
$1,250

Beginner Python and Math for Data Science

March 11 to April 18

Mondays and Thursdays

6:30 - 9:30PM Pacific Time

Nathan grossman
Nathan Grossman
Instructor

As a former engineer, Nathan enjoys data science because it allows him to apply the mathematical skill set he developed designing algorithms for individual products to optimize the behavior of entire organizations. Nathan began his career developing signal processing algorithms for wireless communications at Qualcomm. He subsequently worked in data analytics for intellectual property applications, and in data science for telecom applications. Nathan is currently a data scientist at Wells Fargo, working on machine learning for FinTech applications. He holds a BS in Mechanical Engineering from the University of Illinois, an MS in Electrical Engineering from the University of Michigan, and an MBA from the University of Pennsylvania’s Wharton School, as well as certificates in data science and data analytics from UC Berkeley and UC Santa Cruz. When not working, Nathan enjoys skiing, cycling, playing tennis and spending time with his wife and three sons.

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