The Data Science certificate will help you break into the in-demand field of data science and use your analytical and problem solving skills to join a lucrative industry. Data science specialists require a unique set of skills to analyze numbers and information that supports an organization’s strategy and direction. Hone your knowledge in data sources, statistics and business framing to become a sought-after Big Data or data science professional. The series of data science courses will help you develop fundamental statistical and programming skills and help prepare you for the INFORMS Certified Analytics Professional (CAP) certification exam.
Postsecondary education in a field related to computer science or mathematics is recommended before taking this certificate. Alternatively, students would benefit from a basic understanding of programming concepts.
There are seven courses in this program. Courses can be taken in any order except DATA 007 which must be taken last. All courses are offered through Ontario Learn.
Jobs or career opportunities in the field of data science include data scientist, data engineer, data analyst, data manager, business analyst and careers in analytics.
When you begin this certificate program, please contact email@example.com with your name, student number and the name of the certificate you are working towards. This will allow us to follow your progress during your studies and provide you with any information you may need to know.
Once you have successfully completed all the required courses in this program, contact us at firstname.lastname@example.org to request your Humber certificate. Please include your first and last name, student number, program title and current mailing address in your email.
|Curriculum||Quick-Look Availability Scheduler|
|DATA 001: Advanced Statistics for Data Science|
|DATA 002: Introduction to Analytics and Big Data|
|DATA 003: Big Data Tools|
|DATA 004: Business Problem Analysis and Data Modeling|
|DATA 005: Data Exploration and Basic Statistics for Data Science|
|DATA 006: Predictive Analytics and Machine Learning|
|DATA 007: Data Science Applied Project|