Centre for Quantitative Analysis & Decision Support

Workshops

THEMATIC WEEKS

CQADS offers week-long series of workshops (5 days, 4 hours/day) on various data analysis themes. Each day consists of 2 hours of theoretical instruction in the morning, followed by 2 hours of practical work in the afternoon, except for the Putting It All Together series of workshops, where each day mostly consists of practical work. 

Upcoming Events:

18 JUN to 22 JUN 2018: Mining for Information Gold (information coming soon) 
READING WEEK - FALL 2018: (in collaboration with Sysabee and Idlewyld Analytics): Data Science for the General Public I
READING WEEK - WINTER 2019: (in collaboration with Sysabee and Idlewyld Analytics): Data Science for the General Public II
JUN to NOV, 2018: A Survey of Data Science and Methods (60-hour course at Canada Revenue Agency, registration closed)
DEC 2019: Putting it All Together. 
SEP 2018 to APR 2019: Data Science, Data Analysis, and Data Understanding (68-hour course at the Treasure Board Secretariat)

Past Events:

JAN to JUL 2018: A Survey of Data Science and Methods (60-hour course at Canada Revenue Agency)
SPRING 2018: A Gentle Introduction to Data Science (at the Canada Revenue Agency)
19 APR to 23 APR 2018: Web Scraping and Automated Data Collection (at the Treasury Board Secretariat) 
13 FEB 2018Ontologies, Semantic Web, and Linked Data for Business (with J. Schellick and R. Warren)
30 OCT to 03 NOV 2017: Introduction to Data Science
23 OCT to 27 OCT 2017: Text Mining and Natural Language Processing

Available 20-hrs Courses (please consult the Workshop Catalogue for more information). 

  • Prelude to Data Science
  • Elements of Data Visualization
  • Mining for Information Gold
  • Text Mining and Natural Language Processing
  • Techniques of Data Analysis I: Supervised Learning
  • Techniques of Data Analysis II: Unsupervised Learning
  • Web Scraping and Automated Data Collection

In Preparation

  • Spotlight on Big Data and Distributed Computing
  • A.I. and Deep Learning
  • Analysis of Data Streams
  • Bayesian Data Analysis
  • Recommender Engines 
  • Social Network Analysis
  • Putting It All Together

Depending on the demand, one-off workshops may also be scheduled. In-house training and customizable workshops are also available (contact cqads [at] carleton.ca for inquiries). 

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