Description
This workshop introduces a range of methods and practices in data mining and analytics. Techniques include data and text mining, data analysis (including sentiment and social network analysis), data visualization and modeling. Opportunity to work with analytics and mapping software on students' own projects.
Prerequisites
- Prerequisite(s): COMS 3001 and fourth-year standing in B.Co.M.S. Honours and permission of the School of Journalism and Communication.
Conditions and arrangements
- Prerequisite(s): COMS 3001 and fourth-year standing in B.Co.M.S. Honours and permission of the School of Journalism and Communication.
- Workshop three hours a week.
Reference text in its original language
This workshop introduces a range of methods and practices in data mining and analytics. Techniques include data and text mining, data analysis (including sentiment and social network analysis), data visualization and modeling. Opportunity to work with analytics and mapping software on students' own projects.
- Prerequisite(s): COMS 3001 and fourth-year standing in B.Co.M.S. Honours and permission of the School of Journalism and Communication.
- Workshop three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/COMS/