Specialization Fundamentals of Data Science: Statistical Inference

This program is designed to provide the student with a solid foundation in probability theory in preparation for the broader study of statistics. The program will also introduce the student to the fundamentals of statistics and statistical theory and equip the student with the skills necessary to perform fundamental statistical analysis on a data set using the R programming language. This specialization can be completed for credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) program, offered on Coursera. The MS-DS is an interdisciplinary degree that includes faculty from CU Boulder’s Applied Mathematics, Computer Science, Information Science, and other departments. Based on learning outcomes and requiring no application, the MS-DS program is ideal for individuals with broad educational and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from a photograph Christopher Burns on Unsplash. Applied learning project Students will practice new skills in probability, including fundamental statistical analysis of datasets, by completing exercises in Jupyter notebooks. Students will also test their knowledge by completing quizzes throughout the course.