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Overview
Build on the skills you learned in Foundations of Data Science and get the grounding in basic statistics you need to successfully complete your Data Science certificate. In this Statistics for Data Science course from University of Waterloo, you will explore probability and descriptive statistics, cover data analysis from both a classical and contemporary viewpoint and learn to extract insight from datasets. you will get a math notation refresher, learn to form hypotheses, design experiments that collect valid data, test your hypotheses using statistical techniques, and work with causal models. Concepts are solidified through individual and group based practical assignments.
What you will learn
- Design experiments to collect data that answer business or scientific questions.
- Formulate statistical tests to answer business questions.
- Use multiple linear and logistic regressions as predictive models.
- Use Python for model building.
- Cover data analysis from both a classical and causal viewpoint.
Programme Structure
- Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.
Key information
Duration
- Part-time
- 3 months
- 8 hrs/week
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Disciplines
Statistics Data Science & Big Data View 4 other Short Courses in Statistics in CanadaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Foundations of Data Science OR
- A passing grade on the prior learning assessment, conducted by the University of Toronto, for equivalent skills.
- A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.
Who should enrol:
- Business associates, operations managers, project managers, and intelligence analysts.
- Finance, securities, and insurance professionals.
- Digital marketing and communication specialists.
- Professionals from every level or industry who work with analytics or data.
Tuition Fee
To always see correct tuition fees
-
International
995 CAD/fullTuition FeeBased on the tuition of 995 CAD for the full programme during 3 months. -
National
995 CAD/fullTuition FeeBased on the tuition of 995 CAD for the full programme during 3 months.
- $995.00 + applicable taxes
Funding
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