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Avis et commentaires pour d'étudiants pour Introduction to Statistics par Université de Stanford

4.5
étoiles
1,284 évaluations

À propos du cours

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....

Meilleurs avis

JS

28 déc. 2021

I think sometimes the professor can provide some details about the quiz and more questions in this quiz in order to help us have more deeper understanding of the stats.

RT

2 juin 2022

The course content presenter is very experienced and he presented the material in very intutive way. Thank you very much Sir for sharing your knowledge and experience.

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226 - 250 sur 281 Avis pour Introduction to Statistics

par Aku S

17 mars 2022

Very good begineer friendly course for the people who want to start a career in data analytics.

par Ehsan E N

19 mai 2022

The course covers many useful topics, but dont expect detailed explanations or any proofs.

par Paula

4 févr. 2022

I like the fact that you could retake the quizzes. My confidence was boosted as a result.

par Cole C

8 avr. 2022

Was good. Wish equations were sometimes shown earlier and in a more streamlined manner.

par Vanni Z

1 févr. 2022

Very rigorous and clear explanation of the theory. The right pace of teaching was used.

par Janulation

18 août 2021

C​ould have been a liitle bit more illustrative and visual at some parts

par joseph a

6 déc. 2021

i wish to purchase the certificate later. how do i get it, please

par Aatish S

4 déc. 2021

Very informative lectures, but limited to few areas of statistics

par Yang X

26 juin 2022

​pretty good ,but the part about two sample t-test is not clear

par Jannet M C

20 oct. 2021

An excelent course to undertand basic statistics to analytics.

par Aviral j

19 nov. 2021

Great Course and good beginner friendly statistics concept

par Deng_Bledore

4 juin 2021

I think there should be formula deduction.

par Janae S

24 mars 2022

I understood most of the materials.

par Гомза Д А

5 sept. 2021

intrresting but need more practisie

par Paul C

7 juil. 2022

F​ound it hard to follow at times

par Anil V

15 août 2021

this course is amazing .

par Karan C

21 déc. 2021

V​ery Informative!!!!

par Sanidhya A

2 janv. 2022

achcha course tha

par Munei T

17 juil. 2022

Great

par Ravi K

19 juil. 2021

good

par Serengeti J A

21 mai 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.

par Robert M

26 mars 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.

par Corvin L

10 juin 2022

I​ walked into this course with basic knowledge of statistics. Relearning this course, I can see that the concepts taught to me before were present and well taught. However, I think the course is too fast-paced and sometimes, the professor fails to properly go in-depth about the formula and how to answer the said question. It seemed like he was on a time budget to teach us statistics. I do believe that this course IS sufficient but I feel as the course is too rushed.

par Megan C

21 juil. 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.

par Mark S

9 sept. 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).