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December 15, 2021

[Webinar] Data Science Job Market

About the Event

Our popular Data Science Job Market event is coming back this winter!

In this online session, the speaker(s) will share the most current information on the job market and give advice on how to prepare for a data scientist job.


Schedule (EST):

6:00pm – 6:30pm: Open registration
6:30pm – 6:45pm: Event Kickoff & Introduction
6:45pm – 7:00pm: Explaining different roles: Data Scientist, Data Analyst, Data Engineer
7:00pm – 7:30pm: Data Science Job Market Insights
7:30pm – 7:45pm: Journey to the Data Scientist Job Offer
7:45pm – 8:15pm: Importance of Portfolio Projects
8:15pm – 8:30pm: Q&A

*Times listed above are in EST*
*Please make sure to leave time before the start of the workshop for registration*


Who is this event for?

– If you want to know more about the U.S./Canada data science job market
– If you want to learn the data job market trends post-covid
– If you want to learn more about remote data job opportunities
– If you want to learn how much data scientists get paid and what it takes to get there

Event Details
6:30 pm -
 8:30 pm EST/EDT
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Speakers
Shaohua Zhang
Chief Instructor (WeCloudData) | Head of Data Science (BeamData) | Startup Advisor and Data Coach
Shaohua is the Co-founder and Chief Instructor at WeCloudData. In the past few years, he has trained hundreds of students and helped many of them launch their data science careers. He is also the CEO and Head of Data Science at Beam Data where he works closely with the industry partners on implementing data science projects. Prior to co-founding the Toronto Institute of Data Science and Technology (WeCloudData), he led the data science team at BlackBerry and helped build the data science practice at Kik. He has also worked with big companies such as TD, Canadian Tire, Sunlife, CIBC, Communitech, and MaRS on upskilling their data teams.
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WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

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