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Courses

Resume Workshop

Learn secrets from a resume that received 50+ interviews and 20+ offers. Receive direct feedback on how to improve your resume from mentors who hire for top companies. Find out how to tell your story and discover your outstanding experiences, making your resume a must-interview.

Time: 2 to 4pm, Saturday, October 7

Location: Meeting room 3, Fairview Library

Cost: $20 per person

This workshop series is hosted by AAARL. Advanced Analytics and Research Lab (AAARL) is a data driven organization that provides high impact analytical analysis, tools and education for individuals and organizations. Click here to learn more about them!

Introduction to Data

Science Series

Part I: Data Science and 

Business Intelligence

A 4 hour "all practical for real life" workshop on data science with an introduction to critical 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. 

Time: 1 to 5pm, Sunday, October 15

Location: Devhub (4th floor, 46 Spadina Ave) 

Cost: $60 per person

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, a significant portion on linear regression prediction and time series forecasting.

Time: 1 to 5pm, Sunday, October 22

Location: Devhub (4th floor, 46 Spadina Ave) 

Cost: $75 per person

Part III: Tools in Machine Learning

A 4 hour workshop on machine learning prediction beginning with more in depth regression analysis and progressing to different machine learning techniques including clustering analysistext miningnatural 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 be covered with an overview and then hands on practice. 

Time: 1 to 5pm, Sunday, October 29

Location: Devhub (4th floor, 46 Spadina Ave) 

Cost: $75 per person

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