Chevron Left
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: 5,162
Рецензии: 1,239

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!)

Фильтр по:

451–475 из 1,226 отзывов о курсе Introduction to Probability and Data with R

автор: James P

12 февр. 2019 г.

really good course, learned a lot about statistics and the R coding part is really well done.

автор: Nishant S

9 февр. 2018 г.

the best part is the peer review feature on the final assignment - really get to learn a lot!

автор: Nan L

18 сент. 2016 г.

Very fundamental and informative. The lecturer uses a lot of examples to illustrate concepts.

автор: Julian Z

9 июня 2016 г.

Very informational, really good speed and content. Nice examples to illustrate the learnings.

автор: Tao S

1 февр. 2021 г.

The course content is clear and concise, and the final assignment is useful and challenging.

автор: PAUL M

15 нояб. 2017 г.

Very good introduction to R Programming, although the R-project felt like baptism with fire!

автор: Sebastian E P R

29 июня 2020 г.

Very useful for someone that needs to start updating to R language for statistical analyses

автор: Sanny T U

28 янв. 2021 г.

Thank you. This course really help me a lot to understand the basic elements of statistics

автор: Osamu A

31 мая 2020 г.

I found the lecturer put much effort into producing high quality lectures and assignments.

автор: 倪仲望

1 янв. 2019 г.

Have a simple understanding of data analysis, as well as a simple use of R language tools.

автор: Manolis K

22 февр. 2022 г.

Very thorough and good tutorials. I liked the presentations and the explanatory analysis.

автор: Nguyen D V

22 мая 2019 г.

Great and easy to pick up. I love the bite size videos, very easy to digest and re-watch.

автор: Jose C O B

17 июня 2016 г.

The concepts are clearly presented in a way that makes it simple to understand and apply.

автор: Ian T

28 апр. 2020 г.

Well-paced course that really reinforced probability content with R programing language.

автор: Ashley J

24 февр. 2017 г.

Grreat overview of the basics and the labs provide an excellent platform for learning R.

автор: Harsha S

23 нояб. 2016 г.

This course is very well constructed. The material is comprehensive and easily digested.

автор: Long H

23 авг. 2016 г.

This course is absolutely fantastic. The lectures great and the assignment was excellent

автор: Jeff G D

6 мая 2021 г.

Super useful and helpful, but we have to pay for grading. Still, 5-star for the course.

автор: Hari A

21 мая 2022 г.

The course is well organised with adequate study materials and iinstructional videos.

автор: Abishai S

16 июня 2021 г.

V​ery well structured and defined methodologies for easier grasping and understanding

автор: Ashutosh S

21 апр. 2020 г.

It is a very nice course. Nicely designed. Instructor's way of teaching is very good.

автор: Goyani Z

31 окт. 2019 г.

a very useful course for beginners. Proper instructions are given by the instructors.

автор: Zhiyin P

12 авг. 2016 г.

I like this course. The material is presented clearly. The home work is well defined.

автор: Joshua A B

21 мая 2016 г.

I've taken several statistics, data science, and R courses. This is one of the best.

автор: Anushka B T

20 июня 2020 г.

A great course to learn statistics from the basics with cool real example scenarios.