Course Overview
This course introduces the concepts, techniques and tools needed to extract knowledge and information from data. The focus is on large data sets that would be found in a typical enterprise environment. Students will work with and analyze offline as well as online data. The course covers techniques for data cleaning, manipulation, analysis, and visualization.
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Identify and apply data analytics techniques that are appropriate for a project's needs.
- Identify and apply data analytics techniques that are appropriate for a project's needs.
- Use current tools and techniques to clean and transform data in preparation for modeling and analysis.
- Create predictive models using appropriate statistical and data mining techniques.
- Apply appropriate statistical techniques to the modelling and analysis of data.
- Evaluate and interpret results in order to test claims and to support fact-based decision making.
- Use data visualization tools to effectively communicate the results of a data analysis project.
Effective as of Fall 2018
Related Programs
Introduction to Data Analytics (ACIT 4880) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Computing and Academic Studies
- Computer Information Technology
Diploma Full-time
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.