As a result of the COVID-19 pandemic, the first semester of this program will be held in an online format starting in Summer 2020.
Business Analytics and Insights – Canadian Context
In an evolving world of data overload, businesses are searching to turn opportunities into actionable results. This Business Analytics and Insights – Canadian Context program from Centennial College will provide you with the necessary knowledge, skills, and hands-on experiences to place you at the centre of where statistical analysis meets business insights.
|Full-time Duration:||2 years|
|Starting in:||May 2020|
|Location:||Toronto campus (Toronto, Canada) / Online|
Learn to translate the promise of big data into meaningful information using industry leading tools and techniques.
During this Business Analytics and Insights – Canadian Context program from Centennial College you will have broad and in-depth training in the analysis of big data, statistical and predictive modeling, data management, visualization, and data storytelling. You will learn to solve complex business problems as well as how to present complex insights efficiently and effectively.
This first semester supports students transitioning into the Canadian business environment. Successful graduates of this 2-year program become eligible to apply for a 3-year post-graduation work permit.
- Business Analyst
- Business Intelligence Analyst
- Data Analyst
The Business School offers this program at Centennial’s Eglinton Learning Site. Younge-Eglington is one of Toronto’s central business districts.
It is geographically central to the city of Toronto, popular for young professionals, and surrounded by a number of the country’s highly affluent neighbourhoods.
The neighbourhood scores top marks in every category, from entertainment, eateries, and shopping to transit, employment, health, and lifestyle.
“A good opportunity to be a member of the research team to conduct research for reputed institutions like University of Toronto and Centennial College. Gained a lot a new knowledge and hands-on experience in conducting research. Learned sampling techniques and different data analysis methods.”
Sushil Anu // Performance of Existing Oil-Grit Separators (Stormceptor) and Development a New Generation of Urban Sediment-Contaminant Separators