public Workshops
Introduction to Data Science Series


Part I: Data Science and Business Intelligence
This 4-hour "all practical for real life" workshop on data science will acquaint you with essential concepts in types of data science, art and science of data visualization, and dashboarding. Workshop will end on a high note with a mini lecture on Artificial Intelligence. This is ideal for people who have a basic understanding of math with a strong willingness to learn! A laptop is required to attend the session. Real data will be used with lots of group and individual exercises.
Timing: 1 to 5pm. Sunday, October 15 or Nov 12th, 2017.
Location: Devhub (4th floor, 46 Spadina Ave., Toronto)
Cost: starting at $60 per person
Toronto Sessions:
Oct. 15th (sold out)
Nov. 12th (sold out)
Jan. 14th (early bird sold out)
London ON. Session: Feb. 24th (early bird sold out)
Montreal Session: Mar. 3rd (early bird sold out)
Mar. 11th (sold out)
May 12th (sold out)
July 8th: Early bird tickets on sale now!
Part II: Fundamentals of Statistical and Predictive Modelling
This 4-hour workshop is ideal for people who have some fundamentals in statistics and would like to learn how statistical programming will dramatically boost your data analysis productivity. The workshop will go through the basic types of data, how to implement basic statistical calculations in R, data manipulation in R, linear regression prediction and time series forecasting.
Timing: 1 to 5pm. Sunday, October 22 or Nov 19th, 2017.
Location: Devhub (4th floor, 46 Spadina Ave., Toronto)
Cost: starting at $85 per person
Toronto Sessions:
Oct 22nd (early bird sold out)
Nov. 19th (early bird sold out)
Jan. 21st
Other Sessions:
London On. Session: Feb. 25th
Montreal Session: Mar. 4th
Mar. 18th
May 20th
July 15th: Early bird tickets on sale NOW!
Part III: Tools in Machine Learning
This 4-hour workshop on machine learning prediction begins with more in depth regression analysis and progresses to different machine learning techniques including clustering analysis, text mining, natural language processing and a quick overview of neural networks. A basic understanding of R and statistics is recommended (see Part I and Part II above). Each topic will cover an overview followed by hands-on practice.
Timing: 1 to 5pm. Sunday, October 29, or Nov. 26, 2017.
Location: Devhub (4th floor, 46 Spadina Ave., Toronto)
Cost: starting at $85 per person
Toronto Sessions:
Oct. 29th
Nov. 26th (early bird sold out)
Jan. 28th
Mar. 25th
May 27th
July 22nd: Early bird tickets on sale NOW!