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Course Description

Build on the skills you learned in Data Science 1: Foundations of Data Science and get the grounding in basic statistics you need to successfully complete your Data Science Certificate. In this course, you’ll explore probability and descriptive statistics, cover data analysis from both a classical and contemporary viewpoint and learn to extract insight from datasets. You’ll get a math notation refresher, learn to form hypotheses, design experiments that collect valid data, and test your hypotheses using statistical techniques. The course content covers part of the body of knowledge of INFORMS’ Certified Analytics Professional (CAP) certification.

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Learning Outcomes

  • 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 regression and Monte Carlo simulation.
  • Cover data analysis from both a classical and contemporary viewpoint.

Notes

This course is offered in partnership with University of Waterloo - WatSPEED and hosted on their learning platform.

System Requirements: Anaconda/Jupyter (software that you are required to install); Waterloo LEARN

 

 


 

Prerequisites

3250 - Foundations of Data Science or 3583 - Foundations of Data Science - ONLINE or a passing grade on a self-assessment test/quiz for equivalent skills

Recommendations

A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

This course may be applied towards the SCS Certificate(s) in

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