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Learner Reviews & Feedback for Probability Foundations for Data Science and AI by University of Colorado Boulder

4.5
stars
258 ratings

About the Course

Understand the foundations of probability and its relationship to statistics and data science.聽 We鈥檒l learn what it means to calculate a probability, independent and dependent outcomes, and conditional events.聽 We鈥檒l study discrete and continuous random variables and see how this fits with data collection.聽 We鈥檒l 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鈥檚 Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the 糖心vlog官网观看 platform. These interdisciplinary degrees bring together faculty from CU Boulder鈥檚 departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the CU degrees on 糖心vlog官网观看 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 /degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at /degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash....

Top reviews

TQ

Mar 5, 2023

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

MB

Jun 16, 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 - 50 of 63 Reviews for Probability Foundations for Data Science and AI

By Jonathan B

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Jul 23, 2024

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

By Almudena H

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Dec 6, 2024

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

By Peter C

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Sep 3, 2023

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

By H脿 T P

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Jun 3, 2024

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

By Julian U C

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Jan 31, 2023

Marvelous course.......

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

By Chichassov D

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Oct 19, 2024

Thanks for this course to provide crucial information about Probabilities!

By Mauricio G F

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Jul 20, 2021

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

By Vincent C

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Aug 18, 2023

Excellent Review of probability. Interesting quizzes and projects.

By Gerardo C P

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Aug 3, 2024

Anne Dougherty es una gran docente. Me encant贸 este curso!

By 靸侅潃 旯�

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Oct 5, 2021

Helpful to understand data sciences basic thories

By Teguh R Z

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Oct 18, 2024

Amazing, I've never found course like this before

By Daniel C

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Feb 4, 2022

Exactly the probability course I was looking for

By Mattias P

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May 4, 2023

Good material and good and clear exam questions

By Hidetake T

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Mar 31, 2022

Good course with sufficient amount of practice.

By Michshenko V

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Oct 25, 2024

锌芯卸邪谢褍泄褋褌邪 褋泻懈薪褜褌械 褋械褉褌懈褎懈泻邪褌 袗 褌邪泻 胁褋褢 泻褉褍褌芯

By 袪褟褕 袦 覛

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Oct 24, 2024

芯褔械薪褜 褋谢芯卸薪褘泄 薪芯 懈薪褌械褉械褋薪褘泄

By Claudia G D

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Mar 4, 2022

The course is very good.

By ILYES B

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Sep 13, 2022

great course thank youu

By BING X

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Jan 14, 2023

Very nice course!

By Aiping L

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Sep 26, 2024

Excellent course

By Yuan G

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Dec 11, 2024

Very good class

By Kyle A

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Feb 22, 2022

Great Course!

By Matt E

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May 9, 2022

Lots of fun

By 袦械泄褨褉褏邪薪 袗 覛

鈥�

Sep 17, 2025

袣械褉械屑械褌!

By Sovet M M

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Oct 27, 2024

Meiirim