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Вернуться к Introduction to Probability and Data with R

Отзывы учащихся о курсе Introduction to Probability and Data with R от партнера Университет Дьюка

Оценки: 4,968
Рецензии: 1,195

О курсе

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization....

Лучшие рецензии

7 февр. 2021 г.

After trying several courses to get me started with R programming, this one came to the rescue and had all the info I wanted. It also provides a great way to practice through labs and a final project!

24 февр. 2021 г.

I always wanted to learn statistics from scratch, but I never had a good university teacher. Here I found a good teacher and also the opportunity to learn whenever I want ( and skipping parts I knew!)

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251–275 из 1,176 отзывов о курсе Introduction to Probability and Data with R

автор: Xinyan L

28 апр. 2020 г.

This is a great starting point to master R and use it in data analysis. Not much pre knowledge is needed. The course is instructed in a way that is easy to understand.

автор: Neha T B

8 авг. 2021 г.

Once you finish the course you feel great and confident of what you've learnt. The course is structured in such a way that there is a high chances of being the best.

автор: Antonio L d S C

3 авг. 2020 г.

The course was excellent!

The topics covered in the Introduction to Data Probability with R course were enriching to obtain more practical and theoretical knowledge.

автор: Karan R

3 янв. 2017 г.

A highly demanding and challenging course. Perfect course material and instructors. It was extremely enjoyable and amongst the most satisfactory courses on Coursera.

автор: Dani R

8 июля 2020 г.

The course is very well designed and taught greatly. The madam delivered the lectures in a simple and understanding manner and made the learning very interesting.

автор: Matt S H

22 июня 2020 г.

Really good overview of basic probability theory and R. Like the focus on practical applications and real life studies that were done instead of just toy problems.

автор: Mustafa M

13 июля 2020 г.

Very well put together course with good introduction to R programming and basics of statistics. Lectures are excellent, logical, well-organized and easy to follow

автор: Haozhe Z

17 мая 2020 г.

Great stuff, well organized lectures. From zero experience in using R to having some idea with it only took me a week to complete this course. Highly recommended!

автор: Dimitar D

18 апр. 2017 г.

I thoroughly enjoyed the videos, the special book accompanying the lectures and the R exercises. My particular favs are the book and the R assignments. Great job!

автор: Sergio B

8 нояб. 2020 г.

Very good course to start with statistics. The project is very challenging but encourages you to study harder. I am very thrilled to continue the specialization.

автор: Omar V P R

4 нояб. 2020 г.

Muy buen curso, contiene mucha información que se explica de manera sencilla. Requiere de buen tiempo de dedicación pero se repasan y adquieren muchos conceptos.

автор: Steve A

29 дек. 2020 г.

Good introduction to data analysis with R. Installation of RStudio and downloading the markdown files was slightly tricky at first. But after that its all good.

автор: David B J

12 июня 2019 г.

Most of the content is useful. Some of the probability exercises do not seem necessary for someone going into applied statistics, but they were fun nonetheless.

автор: WEI L

23 нояб. 2018 г.

The course is VERY helpful, I used all the things I learned from the course in my daily study, I feel more confident and committed to finish the specialization!

автор: alessandro r

2 апр. 2018 г.

The material and the presentation are very clear and informative. The quizzes are not difficult but not trivial either. The final project is quite interesting.

автор: John H

30 нояб. 2017 г.

This was a great reintroduction to statistics for me, and with the added benefit of learning to use R, or at least a beginning. I will be continuing for sure.

автор: Dale R

12 янв. 2017 г.

One of the best courses I have taken so far on Coursera. Great lecture content and excellent accompanying text (Open Intro to Statistics). Highly recommended.

автор: Harshit A

16 дек. 2019 г.

Very well structured course and gives a headstart if one wants to go in Data analytics or Data Science. All topics are explained in the easiest way possible.

автор: Laura C C O

4 авг. 2020 г.

i loved the content, excellent classes and teachers. Excellent course to iniciate the use of Rstudio and to improve basic statistics and probability study.

автор: Deleted A

9 авг. 2019 г.

A little bit hard for someone that have zero knowledge about R and only a few notions about statistics. But is a very interesting challenge, great course!

автор: 赵思奇

16 янв. 2018 г.

The lectures and reading materials are all good, but I do think more detailed instructions on R basics could be helpful, especially for rookies such as I.

автор: Andre G L O

20 июня 2016 г.

Very enjoyable and useful. The material is very well explained and the final project is challenger and fun.

I learn a lot on the peer-review processes too!

автор: José E M B

27 сент. 2021 г.

R​ programming can be an issue specially if databases for final project are not availabe, my suggestion is to provide a general overview for programming

автор: Caio C M B

15 авг. 2017 г.

The metodology of the course is great! The videos and exercises in rstudio are extremely helpfull. I'll definitely come back to the full specialization.