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.
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
23 OCT to 27 OCT, 2017: Text Mining and Natural Language Processing
30 OCT to 03 NOV, 2017: Introduction to Data Science
13 FEB, 2018: Ontologies, Semantic Web, and Linked Data for Business (with J. Schellick and R. Warren)
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
- 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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