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Voltar para Statistical Inference and Hypothesis Testing in Data Science Applications

Comentários e feedback de alunos de Statistical Inference and Hypothesis Testing in Data Science Applications da instituição Universidade do Colorado em Boulder

4.7
estrelas
21 classificações

Sobre o curso

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....

Melhores avaliações

RK

26 de out de 2022

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

GV

27 de jul de 2022

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

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1 — 5 de 5 Avaliações para o Statistical Inference and Hypothesis Testing in Data Science Applications

por Nathan H

10 de jan de 2022

por Rohit K

27 de out de 2022

por Garima V

27 de jul de 2022

por ILYES B

7 de set de 2022

por Ricardo R

11 de jul de 2022