Using standard industry-accepted informatics tools, you will design and create descriptive, diagnostic and predictive models. Learn how to translate stakeholder needs into model designs and understand the ethical implications of the analytical models you use.
Upon completion of this course, you will be able to:
use presentation tools and data-mining techniques to explore datasets with different complexities
think analytically: descriptive, diagnostic, predictive and prescriptive approaches
apply data-mining processes and unsupervised methods
utilize supervised predictive methods (regression and classification)
understand time series problems and model time series case studies
identify the difference between machine learning and programming
differentiate the ethical implications of modelling and predictive analytics
In-depth understanding of Python programming and statistics
If your first language is not English, you will be asked to provide evidence of fluency through the submission of an IELTS (Academic) score of minimum 6.0 (with no component less than 5.5), TOEFL score of 550 (79 Internet Based TOEFL), completion of the UVic English Language Centre's ELPI 570 level, or equivalent level through one of our English pathway partners.
Any requests to withdraw received more than a week prior to the course start date will be issued a full tuition refund. A refund—less an administrative fee ($60)—will be issued if you request to withdraw or transfer courses within the week prior to the course start date. No refunds will be issued after the course start date. Requests to transfer from one course section to another, or to withdraw from one course to another, are considered course withdrawals and will adhere to withdrawal deadlines noted above.
Continuing Studies statement on use of educational technology
This course will require the use of Zoom and may use other education technology such as internet-based applications, cloud services, or social media. In order to complete this course you will be required to either consent to the disclosure of your personal information outside of Canada to enable use of these technologies, or work with the Division of Continuing Studies to explore other privacy protective options (such as using an alias or nickname).