Part-time, in class Community Data Science Certificate
Build a professional network of community planning, real estate and public policy professionals
Gain exposure to new ideas and multi-disciplinary perspectives as you systematically work through community-based data analytics problems as a cohort.
Start with the foundations
The first course, Community Data Science Theory and Practice, is a balance of “where,” “how,” “what” and “why” of working with data, and understanding their possibilities and limitations for informing evidence-based decisions.
Using the Canadian Census as a foundational structured dataset, you'll develop a rigorous and pragmatic approach to accessing, evaluating, retrieving, and analyzing this data. You'll also learn where and how to mine vast open data catalogues.
What you'll learn:
- Describe the fundamental elements of data
- Explain the structure and importance of the Canadian Census
- Mine Canadian Census data, and open data for B.C. at provincial and municipal scales
- Assess basic public datasets
- Perform the most common and critical operations in data analysis
- Understand the limits in data analysis