Predictive Data Analytics and Modelling
Code: BIDA406
Apply this course towards:
Business Intelligence and Data Analytics,
Business Administration – Certificate,
Business Administration – Diploma
Course description
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.
Learning objectives
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
Prerequisites
- BIDA301 Business Intelligence and Data Analytics Fundamentals
- BIDA302 Data Analytics Coding Fundamentals
or
- 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.
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