Becoming a Data Scientist: A Python Coding and Machine Learning Workshop

Data Science has been one of the most in demand jobs for the past few years. Data Science skills have become a critical asset in any career, business, or academic program.

This workshop will introduce you to skills, tools, and education that will help kick-start your data science journey. In addition, it will provide you with a curated guide to resources in the city that can help you connect with other data scientists and further grow these skills. 

If you are a student interested in learning a new skill, a professional interested in pursing data science, or a data enthusiast who wants to know what data science is all about, then this workshop is for you!

Over the span of two days, we will provide you with: 

  • An overview of the programming languages used in data science

  • Hands-on coding exercises to learn Python programming

  • An introduction to machine learning techniques 

  • A deep dive into a machine learning model with implementation in Python

  • Hackathon style prediction challenges with hands-on help from the instructors

  • Tips on data science skills and qualities needed in the job industry and how to develop them

  • A guide to resources and events that will help you develop your programming and machine learning skills

Please Note:

  • The target audience for this event: anyone interested in learning about data science

  • The workshop spans over 2 days. Day one ends at 5pm and day 2 resumes on Sunday at 10am. The ticket includes access to both days.

  • Please bring your laptop for the hands-on coding sessions.

  • No programming background is required for this workshop.

  • Lunch will be provided on both days.

  • Some of the proceeds from this event will sponsor our upcoming high school coding workshops. 

If you have any questions, please feel free to email us at: or call (905)616-4836

Date & Location

Date: Sat-Sun, March 9-10 2019

Time: 10am-4pm

Level: Introductory

Location: DMZ Sandbox

341 Yonge St, Suite 312, Toronto ON. M5B 1S1.