You can join the workshop with Zoom meeting link:

https://us02web.zoom.us/meeting/register/tZAlceihpzIvH9XIYfO-YuokQStrIqrrX9D-

Schedule: (Please make sure to leave time before the start of the workshop for registration)

6:00 - 6:30pm - Open registration

6:30 - 8:00pm - Workshop

8:00 - 8:30 - Q & A

Python has gradually become the standard data science language over the past few years. It is the must-know tool if one wants to become a data scientist. If you are getting started with data science, and want to know more about the tools and ecosystems, join this session at WeCloudData.

Topics covered in this info session:

- Data Science and career advice

- Python for Data Science - The Why, What and How

- How to learn Python and Data Science

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Topics covered in this info session:

- Python for Data Science - The Why, What and How

- Getting started with Python and Data Science

At the same time, we will offer a free info session of our key python course to those who are interested in honing their python skills for data science through a series of projects and preparing for the data science jobs in Canada. With our carefully designed projects, experienced teaching team, and on-going support, we are confident that you will be comfortable taking on challenges that big data analytics throws at you after finishing the course.

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Speaker: Rogelio Cuevass

Rogelio Cuevas is an active member of the Toronto Data Science community who currently works as a Senior Data Scientist in the financial industry in Toronto and as a Data Science mentor for a San Francisco start-up.

His educational background has allowed him to work in various research-oriented institutions that include Duke University, McMaster University, University of Western Ontario and Fermilab. His past research activities made him a recipient of a postdoctoral Fellowship awarded by the Natural Science and Engineering Research Council of Canada.

Rogelio holds a double bachelor's degree in physics and mathematics, a master in physical-mathematics and a Ph.D. from McMaster University during which he focused on theoretical and computational tools applied to quantum systems.