Certificate in Data Analytics, Big Data, and Predictive Analytics

Note: This certificate program is offered through in-class course delivery, in on-campus computer labs and video lectures in the first five courses (CIND 110, CIND 119, CIND 123, CIND 719, and CMTH 642).

Online Info Session for Data Analytics and Related Programs

Join us for a free online information session to learn more about offerings in data analytics and related programs on Friday, April 6, 2018. Learn more and register.

If you are interested in becoming a data scientist, the Certificate in Data Analytics, Big Data, and Predictive Analytics will provide relevant, timely, and effective education in data analytics foundations, basic and advanced analytics methods, and big data analytics tools. Each of these domains is recognized as having significant and growing societal importance: to organizational performance in the research and development of products and services; to communications with clients and customers; and to commerce, finance, research, public utility, law enforcement, government institutions, and infrastructure.

Big data implementation and analytics and predictive analytics methods, models, and platforms – and qualified professionals knowledgeable in harnessing them – are in high demand from private and public sector organizations. The content of this certificate program is designed to meet the requirements of the INFORMS Certified Analytics Professional (CAP®) program. CAP® requires proficiency and skills in the following seven domains:

  1. Business Problem Framing
  2. Analytics Problem Framing
  3. Data
  4. Methodology
  5. Model Building
  6. Deployment
  7. Model Life Cycle Management

Upon successful completion of this certificate, graduates will be prepared to take the INFORMS CAP® exam to become certified professionals in this burgeoning field. For more information about the CAP® designation, visit the INFORMS CAP® page. For specific program and course information, contact Anne-Marie Brinsmead, Program Director for Engineering, Architecture, and Science, at a2brinsm@ryerson.ca.

abstract high tech background with graphs and diagramsData Analytics Fast Track Offerings

Students have the opportunity to take 5 of the 6 courses in the Certificate in Data Analytics, Big Data, and Predictive Analytics in three months and access specialized material and individualized instructor support. The sixth course, Data Analytics: Capstone Course (CKME 136), is completed online in a subsequent academic term of the student's choosing. See Data Analytics Fast Track (CKME 999) for further information.

For more information, contact Program Director, Anne-Marie Brinsmead, at a2brinsm@ryerson.ca and 416.979.5000 ext. 2665.

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