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University of Colorado Boulder

Data Science Foundations: Statistical Inference

University of Colorado Boulder via Coursera Specialization

Overview

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This program is designed to provide the learner with a solid foundation in probability theory to prepare for the broader study of statistics. 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 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. 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.

Syllabus

Course 1: Probability Theory: Foundation for Data Science
- Offered by University of Colorado Boulder. Understand the foundations of probability and its relationship to statistics and data science. ... Enroll for free.

Course 2: Statistical Inference for Estimation in Data Science
- Offered by University of Colorado Boulder. This course introduces statistical inference, sampling distributions, and confidence intervals. ... Enroll for free.

Course 3: Statistical Inference and Hypothesis Testing in Data Science Applications
- Offered by University of Colorado Boulder. This course will focus on theory and implementation of hypothesis testing, especially as it ... Enroll for free.

Courses

Taught by

Anne Dougherty and Jem Corcoran

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