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Avis et commentaires pour d'étudiants pour Statistical Inference for Estimation in Data Science par Université du Colorado à Boulder

20 évaluations
5 avis

À propos du cours

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 - 4 sur 4 Avis pour Statistical Inference for Estimation in Data Science

par Daniel C

9 déc. 2021

I feel like complaining it was very hard, but I can´t, it´s necessary. Jem Corcoran thruly wants you learn and share her experience with you. I recommend to go through the chapters again when finished, the concepts are not easy to digest at first.

par Óscar L R F

4 mars 2022

I​t was a tough one for me... completely worth it.

par Hidetake T

19 avr. 2022

In depth understanding

par Parth K

29 déc. 2021

Quite a few technical issues with labs and programming assignments which prevent you from progressing in the course.