Chevron Left
返回到 Introduction to Probability and Data with R

學生對 杜克大学 提供的 Introduction to Probability and Data with R 的評價和反饋

4,783 個評分
1,142 條評論


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....



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!


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!)


1101 - Introduction to Probability and Data with R 的 1119 個評論(共 1,119 個)

創建者 aparna j


Before assigning such a tough project in week 5 using R, the course should have dealt with R more thoroughly along with theory about probability. Week 5 mentions project to be of 2hrs, but it took me 1 week to understand R all by myself and then complete the assignment somehow. I would say, i chose the wrong course. Highly dissapointed. Should have opted some other course to learn R in depth.

創建者 Michael K


The very first setup of R packages is broken. I paid $49 dollars because I waited 2 days past the 7 day free trial. After spending hours reading through the forums of many people having many different configuration problems, it is clear that the content creators should have fixed these issues on their end. Instead they leave students to figure it out.

創建者 Pamela G


While the videos and quizzes were easy to use, I had extreme difficulty using the DataCamp and could not find any tutorials that would answer my questions. Also, am unable to complete the course because of technical difficulties with RStudio. The course should have more online resources for those with little experience.

創建者 Niharika K


For Beginners, it is very difficult to understand the mechanism of how R works without the video guidance. Though reading is available, but it does not give a good understanding due to the complexities of R.

創建者 Bo W


thanks for your effort to make videos, but this is the first time find a class that i can not submit my answer to check if it is correct or not before my account is upgraded. Disappoint to Coursera and Duke.

創建者 Piotr Z


The course was not very helpful for me, as practical cases with R were poorly developed and the final data capstone project is badly formulated which makes it extremely difficult to pass.

創建者 Derek E


The lab instructions are terrible and the code used for this course is dependent on software libraries that are out of date.

創建者 Manoj G


Speed is very fast for a basic level student. The data explanation and correlation demonstrated is not clear.

創建者 Philomena


There's no point in auditing the course since you don't get access to the answers

創建者 Eduardo F


the introduction with R is extremely confused for someone who is from scratch

創建者 Mohamed A R


Manque des fichiers pour travailler les labs (datasets)

創建者 Vanderson A D d S


There isn't a support to help you with doubts ...

創建者 Joanna C


I do not understand the directions make no sense

創建者 Martin H L


Quiero darme de baja a este curso por favor

創建者 Marty C D


could not run labs. useless without it

創建者 Natasha S


Peer reviews were overwhelming

創建者 Toan Q


Very poor technical support!

創建者 Lloyd S


Not as advertised.

創建者 zhanghan


just so so