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Learner Reviews & Feedback for Introduction to Statistics by Stanford University

4.6
stars
3,000 ratings

About the Course

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning. Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons....

Top reviews

AB

May 23, 2023

The lectures were clear and thorough, with a good amount of examples. The quizzes were excellent, and I learned a lot from the feedback. One of the best Coursera courses I have ever taken!

BH

Jun 26, 2023

I started this course to get into machine learning and AI. This was packed with a lot of information to get you started. It doesn't got deep into each topic but great for an overal view.

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626 - 637 of 637 Reviews for Introduction to Statistics

By PRINN S

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Jan 22, 2023

very hard to follow. slow speak but very fast pace

By Prashanth P

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Jun 17, 2023

thanks to corsera providing gate experience

By Haytham A

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Aug 10, 2023

I'm from developing countries particularly from Yemen where the war have destroyed everything. I hope that you will give me the certificate for this course for granted.

By Christopher S

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Jun 15, 2024

This course is horrible. Very little explanation provided. I guess for the price it's... better than nothing, but you get what you pay for... which is nothing.

By Diane D V

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May 14, 2022

The quiz questions are not worked well and it makes it a bit difficutl to understand what is being asked.

By Abdul B

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Nov 19, 2022

Literally slow and boring, Inadequate of definitions and examples

By Laura K

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Sep 29, 2023

Videos play overlapping making the content unusable.

By Lois J

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May 15, 2024

poor explanation and study material

By Néstor d J M G

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Dec 26, 2022

The visual material isn't good.

By Zhang h

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Dec 9, 2023

the last one cannot passed

By rita r

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Dec 1, 2021

non in italiano

By 邱奕瑋

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Mar 6, 2024

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