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學生對 科罗拉多大学波德分校 提供的 Statistical Inference and Hypothesis Testing in Data Science Applications 的評價和反饋

4.7
21 個評分

課程概述

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 https://www.coursera.org/degrees/master-of-science-data-science-boulder....

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RK

2022年10月26日

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

GV

2022年7月27日

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

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1 - Statistical Inference and Hypothesis Testing in Data Science Applications 的 5 個評論(共 5 個)

創建者 Nathan H

2022年1月10日

創建者 Rohit K

2022年10月27日

創建者 Garima V

2022年7月27日

創建者 ILYES B

2022年9月7日

創建者 Ricardo R

2022年7月11日