khan academy statistics for data science

The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others.

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. Understand the foundations of probability and its relationship to statistics and data science. Logo adapted from photo by Christopher Burns on Unsplash. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. It will also introduce the learner to the fundamentals of statistics and statistical theory and will equip the learner with the skills required to perform fundamental statistical analysis of a data set in the R programming language. This program is designed to provide the learner with a solid foundation in probability theory to prepare for the broader study of statistics.

Khan academy statistics for data science