3251 - Statistics for Data Science
Course Description
Build on the skills you learned in 3250 - Foundations of Data Science and get the grounding in basic statistics you need to successfully complete your data science fundamentals 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.
The Data Science courses are also offered online in partnership with University of Waterloo - WatSPEED.
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
Not sure of your knowledge of basic statistics? Need to brush up basic statistics?
Take any of the courses below before you enroll in this course
- Basic Statistics, offered by Coursera/ Amsterdam University
- OpenIntro Statistics, free online interactive resources
Prerequisites
3250 - Foundations of Data Science or a passing grade on a self-assessment test/quiz for equivalent skills
Recommendations
Laptop Computer with the following Specifications:
System Type: 64 bit operating system, X 64-based processor; Windows 7, 8 or 10; Mac OS/X or Linux running on similar hardware. Processor: Intel ® i5-3230M CPU @ 2.6 GHz or better; Installed Memory ( RAM): 8 GB or more.
Software needed for this course is free and mostly open source. You will receive instructions for download/install/use in class
Academic Requirements: A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is also recommended.
This course may be applied towards the SCS Certificate(s) in
- Data Science : Required Courses
