You can join the workshop with Zoom meeting link:

https://us02web.zoom.us/meeting/register/tZwrf-6hqTwuGdPk7zjK-sqFb_-RYlON6OLz

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 is hot!!! Youtube, Dropbox, Quora, Eventbrite and many other famous Internet companies are built on python. Data Scientists and Analysts love to use python for data analysis and machine learning, data engineers like to use python for scripting and DevOps, big data experts use python to handle data at scale and build data pipelines, and developers use python to build web applications.

Python has been hailed as one of the staples for programming in data science field. It is among the top ten in-demand technologies around the world, and it is listed as one of the top ten highest-paying tech skills with salary over $100,000. It is powerful enough for experienced programmers to build real-world products, but also simple enough for beginners to pick up and jump start on meaningful projects in a short period of time.

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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.