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Learner Reviews & Feedback for Introduction to Statistics by Stanford University

4.6
stars
2,914 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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551 - 575 of 617 Reviews for Introduction to Statistics

By tony w

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Sep 13, 2022

some typo in the subtitle

By Anil V

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Aug 15, 2021

this course is amazing .

By Damitha E J

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Jul 20, 2023

Easy to understand ...

By Karan C

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Dec 21, 2021

Very Informative!!!!

By Satish K

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Oct 3, 2022

Good For beginners

By Sanidhya A

•

Jan 2, 2022

achcha course tha

By Amruta

•

Jul 7, 2023

Difficult one!

By Allan A B

•

Jan 27, 2024

It was good

By vansh t

•

Jul 9, 2023

exceptional

By Mohammed B

•

Jun 25, 2023

realistic

By Munei T

•

Jul 17, 2022

Great

By Shubham R

•

Apr 29, 2023

good

By Ravi K

•

Jul 19, 2021

good

By Quang L K (

•

Nov 14, 2023

thx

By Serengeti J A

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May 21, 2022

This course covered a LOT of concepts. That said, out of necessity, it goes rather quickly. Instead of showing proofs or how he got to an equation, the instructor often breezes over it saying "so as we saw from ..., we now have ..." and that often left me confused because I had only just been introduced to the necessary concept once before (and briefly at that). I am NOT saying the instructor did a bad job, just that for my learning style, a bit more repetition when it came to introducing new formulas would have been very helpful. Because things often felt glosses over, it was common for a 5 minute video to take me 45 minutes of figuring out how he'd gotten a figure. Now that I've completed the course, I would say I have a much better idea of what I don't know- notice that I'm not saying I now understand these concepts.

By Robert M

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Mar 26, 2022

Provides a satisfactory overview of several basic statistical concepts and procedures, but most material is presented at the level of abstract theory. As such its practical significance is often hard to grasp and the relevance of the various presented statistical formulae is elusive. Furthermore, in each module the instructor presents a relatively fast-paced yet cursory overview of multiple statistical concepts and formulae, which makes the course less learner friendly, even when one pauses or rewatches the video lessons multiple times.

By Megan C

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Jul 21, 2021

The course syllabus was enriching even for the first week. However, I was unable to access the data required for the quiz due to regional restrictions which is unimaginable for an online course that is offered to international and domestic students alike. The aim of an online course is to spread information via the unlimited possibilities of the internet, yet the design of this course severely undermines its purpose.

By Mark S

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Sep 9, 2021

Very challenging and I found really difficult. I think the term "Introduction" is spot on. It doesn't really dig in too deeply on how to do statistical analysis as much as present terms and some random examples. However, it was excellent at getting your "feet wet" with concepts and terms that are thrown around a lot (e.g. ANOVA).

By Tatiana M

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Mar 4, 2023

Great cource, but terrible attitude towards learners with russian citizenship. I can't even place my name on the certificate. You've restricted acces to everithing just because of our nationality and location. And now what? We could have buy cources from you but after all of that I'll never ever pay you anything. Farewell

By Bhupendra B C

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Apr 11, 2022

The course covers a good spectrum of concepts. Moreover, confusion remained at the end of latter chapters on correct application of those concepts learnt from the lectures. The lecture content was simple and understandable; but the assignments were confusing.

By Nick T

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Feb 9, 2023

Not enough explanation/teaching and the content is really boring. It's just the professor reading slides and not providing great examples. I find myself needing to use 3rd party content to supplement every lesson so far.

By Hanna D

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Nov 24, 2023

The course doesn't do a good job at explaining the core concepts well. I didn't find the extra videos relevant either. If you're curious about the basic concepts of statistics, just watch some youtube tutorials.

By Megan W

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Sep 20, 2021

This course was taught at a much higher level than I was expecting. Concepts were broad and vague. Would have loved to work on concepts in greater detail or with additional practice and application.

By Shivam R

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Mar 31, 2023

Course was well organized and the content was also too good. However, the course could include some more examples. Overall it was good to start our journey is machine learning and data science.

By Hameed M

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Mar 9, 2022

very good course. Cuts to the chase. I enjoyed it as the lecturer was clear in his explanations and also I think all the necessary and important statistical parameters were mentioned.