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UNC Courses

By on September 8, 2018

Fall 2018

  • STOR 155: Introduction to Data Models and Inference
  • STOR 320: Introduction to Data Science

Spring 2019

  • STOR 155: Introduction to Data Models and Inference
  • STOR 215: Introduction to Decision Sciences
  • STOR 320: Introduction to Data Science

Summer 2019

  • STOR 155: Introduction to Data Models and Inference
  • STOR 320: Introduction to Data Science

Fall 2019

  • STOR 320: Introduction to Data Science
  • STOR 390: Sports Analytics

Spring 2020

  • STOR 305: Decision Making Using Spreadsheet Models
  • STOR 390: Introduction to Data Science

Summer 2020

  • STOR 320: Introduction to Data Science

Fall 2020

Data analysis; correlation and regression; sampling and experimental design; basic probability (random variables, expected values, normal and binomial distributions); hypothesis testing and confidence intervals for means, proportions, and regression parameters; use of spreadsheet software.

This course is an application-driven introduction to data science. Statistical and computational tools are valued throughout the modern workplace from Silicon Valley startups, to marine biology labs, to Wall Street firms. These tools require technical skills such as programming and statistics. They also require professional skills such as communication, teamwork, problem solving, and critical thinking.

Survey the application of statistics and mathematics to the sports industry exploring the history of analytics across various sports, understanding the advantages of sports analytics for both on-field performance and off-field business decisions, and examining current research to encourage creative thought of future development.