Information Technology Data Analytics

Certificate of Achievement | Code: 1373

Please note:

This program credential is suspended and no longer taking new applicants. If you are already enrolled in this program, courses are still available for registration.

About the program

To improve their competitive position and increase growth, companies are continually being challenged with how to examine the vast amounts of raw data that they collect and turn that data into useful information. Data analytics is quickly becoming one of the most useful elements used in business to unlock new possibilities and help in achieving goals. In this program students will practice database development and data mining techniques, while becoming familiar with relational database design and management systems.

Program information

All courses must be completed within 3 years of acceptance into the program.

Admission requirements

Ontario Secondary School Diploma (OSSD), or equivalent, OR 19 years of age or older.

Admission procedures

  • Submit a completed Conestoga College Application Form.
  • Attach proof of the admission requirements.

Program requirements

Credit will be given for any qualifying course successfully completed up to two (2) years prior to admission into the program.

Graduate opportunities

Data analytics is quickly becoming one of the most useful elements used in business to unlock new possibilities and help in achieving goals. This program prepares students for data analytics roles that are required in such positions as Analytics Support, Data Curation, Data Analytics Associate, and Data Analysis. The skills learned in this program can be utilized by any organization that has a need to identify trends and patterns with all of the data that they collect.

For more details on related occupations, job market information and career opportunities, see the Government of Canada website: https://www.jobbank.gc.ca/home

Program outcomes

  • Design an appropriately normalized relational database to support the development of well-formed intuitive data sets that have a clear hierarchical structure.
  • Discuss the available Data Base Management Systems (DBMS) models and architectures that are used in business today to determine what model and architecture is best used for the client's needs.
  • Collect, manage, and interpret data to identify trends and issues in the workplace to create and develop levels of measure.
  • Differentiate between the different frameworks and models for continuous process improvement.
  • Apply statistical analysis and process analysis techniques to help drive business solutions.

Program related resources

Program contact

Continuing Education
Upcoming Registrations

Mark your calendars for our upcoming registration dates so you can plan your future.

Fall Registration: July 8, 2019
Winter Registration: November 4, 2019