Chevron Left
Retour à Introduction to Statistics

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

4.5
étoiles
630 évaluations
124 avis

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

KE
30 nov. 2021

A very good course. Definitely a course to take for an introduction into Statistics. Also probably going to be very useful as I'm planning on taking Machine Learning.

ST
2 oct. 2021

The course is very informative and easy to understand. Each topic was explained clearly with examples. Hope that there will be an advanced course

Filtrer par :

101 - 125 sur 135 Avis pour Introduction to Statistics

par Gurudatta J

15 sept. 2021

very nice

par Abdusalim S

29 août 2021

super

par Prathmesh p

6 sept. 2021

good

par 고갱

31 août 2021

good

par YUBIN X

7 août 2021

good

par Shankar M

16 sept. 2021

.

par BETTINA M

29 août 2021

5

par Cheryl S

7 janv. 2022

Statistics are a bit too boring for me. Some definitions are difficult to understand, what's more, there are many formulas, which makes it easy for beginners to mix them up. Although the professor tries to make everything clear, the knowledge points are difficult to digest.

par Lee S

10 août 2021

​Good intro-refresher into what stats and probability terms mean and what they are used for especially in a more data driven society. Occasionaly needed to go over material 2 or 3 times to understand points being made. overall appreciated the course.

par Segun M

30 nov. 2021

G​ood intro course, however, if you are coming from a no-scientific background would advice you work on a few mathematical concepts prior. Namely; basic algebra & probability

par Sarievo

29 déc. 2021

There is much calculus involved which makes me hard to digest the materials (I have not completed calculus yet), but overall an informative course from Stanford online.

par Bruno G

8 janv. 2022

Challenging but a good overview of basic principles of statistics. Will allow me to read with a more critical eye figures that are used to support arguments.

par Jonathan A

27 oct. 2021

This is a good overview course. An improvement would be more hands on examples using R or Python.

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 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 Гомза Д А

5 sept. 2021

intrresting but need more practisie

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 Ravi K

19 juil. 2021

good

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.