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Statistics for Data Science University of Waterloo

Highlights
Tuition fee
995 CAD / full
995 CAD / full
Unknown
Tuition fee
995 CAD / full
995 CAD / full
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

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 with this Statistics for Data Science course at the University of Waterloo.

Overview

In this Statistics for Data Science course at the 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.

Features

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.

Programme Structure

Modules include:

  • Probability
  • Distribution of Random Variables
  • Statistical Inference
  • Hypothesis Testing
  • ANOVA, Goodness of Fit, and Bootstrapping
  • Linear Regression
  • Logistic Regression
  • Time Series
  • Causal Inference

Key information

Duration

  • Part-time
    • 3 months
    • 8 hrs/week

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • Waterloo, Canada

What students do after studying

Join for free or log in to access our complete career info list.

Academic 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

Required prerequisites:

  • 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.
System requirements:
  • Anaconda/Jupyter (software that you are required to install)
  • Waterloo LEARN

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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    995 CAD / full
    995 CAD / full
  • Domestic

    Citizens or residents
    995 CAD / full
    995 CAD / full

Additional Details

  • $995.00 + applicable taxes

Funding

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