Graduate Certificate in Business Analytics and Graduate Certificate in Predictive Analytics (Bundle Program) Conestoga College - Kitchener - Downtown Campus, Canada

Business Analytics
The need for business analytics in today’s fast-paced world necessitates that employees possess the skills, technologies, and practices for continuous exploration and investigation of past business performance to gain insight into what happened and why. A well-trained business analyst will use the insights to help drive change and business planning within organizations. You will learn how to describe, interpret, and inform business decisions in specific areas of data-driven business. You will improve your data literacy skills and develop an analytic mindset that will help you make strategic decisions based on data. The Business Analytics Ontario College Graduate Certificate program focuses on two of the four types of analytics used in business - Descriptive Analytics and Diagnostics Analytics. Using these two types of analytics, you will practice summarizing data findings to communicate what is currently going on in business and help stakeholders see what contributed to the outcome of your findings.

Predictive Analytics
To be successful in business today, you need to be proactive, forward thinking, and able to anticipate outcomes and behaviours based upon the data you collect. Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behaviour patterns. If you have a background in computer science, computer programming, mathematics, or statistics and enjoy working with statistical data, then this could be the program for you. In this Ontario College Graduate Certificate in Predictive Analytics, you will learn about statistical applications for data analysis, data modeling practices, and big data analytical techniques. Through individual and group activities and case studies, you will use predictive modeling and analytical techniques to bring together the management, information technology, and business modeling processes in order to make predictions about future trends. Businesses and industries can use the patterns found in the data to identify risks and opportunities for future decisions and effectively interpret data for their benefit.