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Statistical Inference and Hypothesis Testing in Data Science Applications(으)로 돌아가기

콜로라도 대학교 볼더 캠퍼스의 Statistical Inference and Hypothesis Testing in Data Science Applications 학습자 리뷰 및 피드백

21개의 평가

강좌 소개

This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error and error rates, power, simulation, and the correct computation and interpretation of p-values. Attention will also be given to the misuse of testing concepts, especially p-values, and the ethical implications of such misuse. 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

최상위 리뷰


2022년 10월 26일

In-depth course on Hypothesis testing. Course instructor is quite engaging.


2022년 7월 27일

Loved the material. Content looks quite convincing and well explained!

필터링 기준:

Statistical Inference and Hypothesis Testing in Data Science Applications의 5개 리뷰 중 1~5

교육 기관: Nathan H

2022년 1월 10일

교육 기관: Rohit K

2022년 10월 27일

교육 기관: Garima V

2022년 7월 27일

교육 기관: ILYES B

2022년 9월 7일

교육 기관: Ricardo R

2022년 7월 11일