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学生对 University of Colorado Boulder 提供的 Probability Foundations for Data Science and AI 的评价和反馈

4.5
257 个评分

课程概述

Understand the foundations of probability and its relationship to statistics and data science.  We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events.  We’ll study discrete and continuous random variables and see how this fits with data collection.  We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. These interdisciplinary degrees bring 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 CU degrees on Coursera are 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://hua.dididi.sbs/degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at https://hua.dididi.sbs/degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash....

热门审阅

TQ

Mar 4, 2023

This course taught me the basics of probability, R programming, and Latex. I am deeply grateful to Prof. Anne Dougherty, UC Boulder, and Coursera for this tough but wonderful experience.

MB

Jun 15, 2022

This is a great course on probability. Although I felt like it was too easy and should include more PDFs (such as Beta and Gamma) and random variable transformations.

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26 - Probability Foundations for Data Science and AI 的 50 个评论(共 63 个)

创建者 Jonathan B

Jul 22, 2024

Very well presented material with invaluable and illuminating labs, quizes, and programming assignments. I felt like the pace and assignment difficulty were perfect.

创建者 Almudena H

Dec 6, 2024

I loved it. The course is very well structured with meaningful practice laboratories and good video explanations. Totally recomend

创建者 Peter C

Sep 3, 2023

Formula sheet a bit wrong and some lectures out of order. But, great course to get into stats!

创建者 Hà T P

Jun 3, 2024

Thank you to everyone who put a lot of effort into making this course; it is really helpful.

创建者 Julian U C

Jan 30, 2023

Marvelous course.......

It is the best course in all coursera. Thanks a lot <3

创建者 Chichassov D

Oct 19, 2024

Thanks for this course to provide crucial information about Probabilities!

创建者 Mauricio G F

Jul 20, 2021

It was a great course. Good combination between theory and practice.

创建者 Vincent C

Aug 18, 2023

Excellent Review of probability. Interesting quizzes and projects.

创建者 Gerardo C P

Aug 2, 2024

Anne Dougherty es una gran docente. Me encantó este curso!

创建者 상은 김

Oct 5, 2021

Helpful to understand data sciences basic thories

创建者 Teguh R Z

Oct 17, 2024

Amazing, I've never found course like this before

创建者 Daniel C

Feb 3, 2022

Exactly the probability course I was looking for

创建者 Mattias P

May 4, 2023

Good material and good and clear exam questions

创建者 Hidetake T

Mar 30, 2022

Good course with sufficient amount of practice.

创建者 Michshenko V

Oct 25, 2024

пожалуйста скиньте сертификат А так всё круто

创建者 Ряш М Қ

Oct 24, 2024

очень сложный но интересный

创建者 Claudia G D

Mar 3, 2022

The course is very good.

创建者 ILYES B

Sep 12, 2022

great course thank youu

创建者 BING X

Jan 14, 2023

Very nice course!

创建者 Aiping L

Sep 25, 2024

Excellent course

创建者 Yuan G

Dec 10, 2024

Very good class

创建者 Kyle A

Feb 21, 2022

Great Course!

创建者 Matt E

May 8, 2022

Lots of fun

创建者 Мейірхан А Қ

Sep 17, 2025

Керемет!

创建者 Sovet M M

Oct 27, 2024

Meiirim