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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

  • STOR 155: Introduction to Data Models and Inference
  • STOR 320: Introduction to Data Science
  • STOR 538: Sports Analytics

Spring 2021

  • STOR 305: Decision Making Using Spreadsheet Models
  • STOR 538: Sports Analytics
  • STOR 702: Seminar in Teaching

Summer 2021 

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

Fall 2021

This course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze those data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design.

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.

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.

In this course, we seek to help each STOR graduate teaching assistant (GTA) and lab instructor to become an effective educator as they take the challenge of teaching. For first time GTAs and lab instructors, we realize that this can be overwhelming at first, but we hope that this course instills the confidence necessary to teach competently.

Spring 2022

  • STOR 320: Introduction to Data Science
  • STOR 702: Seminar in Teaching