Probability Theory
Foundation for Data Science
Data Science Foundations: Statistical Inference,
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. 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. 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. 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. 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. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder Logo adapted from photo by Christopher Burns on Unsplash.
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Rating | Not enough ratings |
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Length | 7 weeks |
Effort | 6 weeks of study, 8-10 hours/week |
Starts | Jul 10 (42 weeks ago) |
Cost | $99 |
From | University of Colorado Boulder via Coursera |
Instructors | Anne Dougherty, Jem Corcoran |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Probability And Statistics |
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Rating | Not enough ratings |
---|---|
Length | 7 weeks |
Effort | 6 weeks of study, 8-10 hours/week |
Starts | Jul 10 (42 weeks ago) |
Cost | $99 |
From | University of Colorado Boulder via Coursera |
Instructors | Anne Dougherty, Jem Corcoran |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Probability And Statistics |
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