Starts Monday! Beginner Python & Math for Data Science Course. Enroll Now

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
$1,250

Beginner Python and Math for Data Science

April 23 to May 31

Mondays and Thursdays

6:30 - 9:30pm Pacific Time

5/28 class rescheduled for 5/29

Roberto reif
Roberto Reif
Co-Instructor

Roberto comes to Metis from Sensoria Inc., where he led the signal processing team. In addition to teaching the Beginner Python & Math for Data Science course, he is a Sr. Data Scientist at Metis where he instructs the immersive bootcamp and corporate training programs. He has worked in applications in the healthcare, internet of things, and business intelligence markets. He received a PhD in Biomedical Engineering from Boston University, and has co-authored several scientific publications, book chapters, and patents.

Gordon dri
Gordon Dri
Co-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
Limited Time! $1,650 $1,900

Statistics for Data Science

May 1 to June 7

Tuesdays 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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Live Online
Limited Time! $1,650 $1,900

Data Visualization with D3

May 5-6 and May 12-13

Saturdays and Sundays

9:30am - 5:00pm Pacific Time

This is a weekend intensive course. (Lunch from 12:30-1PM)

Mollie pettit
Mollie Pettit
Instructor

Mollie Petit wears many technical hats including that of a data scientist, a data visualization engineer, and an instructor of both fields. In her career, Mollie has worked on projects involving a wide variety of problems including but not limited to interactive data visualizations, exploratory data analysis, machine learning, corporate data tool creation, course development, instruction, and ideation. Mollie previously worked with Datascope Analytics and is currently working part-time as a Metis data visualization and data science instructor and part-time on freelance and side-projects (including a project with ACLU-IL). Before transitioning towards data science, Mollie worked as a petrophysicist in Abu Dhabi and as a scientific researcher at Stanford University. Mollie has BS degrees in mathematics and geology from WVU and a MS in geology from Stanford University. When Mollie is not being a technical nerd, she swing dances as much as possible, listens to educational podcasts, and strives to be all-around fabulous.

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Live Online
$1,250

Beginner Python and Math for Data Science

May 21 to June 27

Mondays and Wednesdays

6:30 - 9:30pm Eastern Time

Enroll
Live Online
$1,900

Deep Learning with TensorFlow

June 4 to July 11

Mondays and Wednesdays

6:30 - 9:30pm Eastern Time

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