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.

Upon completion of this course you will be able to:

  • Use data analytic and presentation tools to model problems with moderate to advanced complexity.
  • Create predictive analytic techniques for simple to moderate data relationships.
  • Compare diagnostic and predictive models.
  • Analyze data using a diagnostic model.
  • Explain forms of time series models and strengths and weaknesses of each.
  • Create a time series model for a case study.
  • Differentiate the ethical implications of modeling and predictive analytics.
  • Assess stakeholder needs in modelling and predictive analytic designs.

BIDA406 Prerequisites:

It is recommended that students have completed the following courses:

  • BIDA301 Business Intelligence and Data Analytics Fundamentals
  • BIDA404 Data Visualization and Reporting
  • BIDA405 Data Analytics Provisioning, Importing, Extracting and Manipulation  or  proficient coding in R, Python and JavaScript

Learning objectives

  • Use data analytic and presentation tools to model problems with moderate to advanced complexity
  • Create predictive analytic techniques for simple to moderate data relationships
  • Compare diagnostic and predictive models
  • Analyze data using a diagnostic model
  • Explain forms of time series models and strengths and weaknesses of each
  • Create a time series model for a case study
  • Differentiate the ethical implications of modeling and predictive analytics
  • Assess stakeholder needs in modelling and predictive analytic designs

Prerequisites

Coure requirements

​​It is recommended that students have completed the following courses:

English language requirement

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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