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Вернуться к Statistical Inference for Estimation in Data Science

Отзывы учащихся о курсе Statistical Inference for Estimation in Data Science от партнера Колорадский университет в Боулдере

Оценки: 36

О курсе

This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings. 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 Logo adapted from photo by Christopher Burns on Unsplash....
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1–8 из 8 отзывов о курсе Statistical Inference for Estimation in Data Science

автор: Derek B

24 июня 2022 г.

автор: Daniel C

9 дек. 2021 г.

автор: Ivan L

3 сент. 2022 г.

автор: Óscar L R F

4 мар. 2022 г.

автор: Ricardo R

20 июля 2022 г.

автор: Hidetake T

19 апр. 2022 г.

автор: Alex H

28 сент. 2022 г.

автор: Parth K

29 дек. 2021 г.