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Duke University

Introduction to Probability and Data with R

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.

状态:Statistical Methods
状态:R (Software)
初级课程小时

精选评论

CD

5.0评论日期:Oct 10, 2016

excellent course. lots of material to work off of. I wish there were more tutorials for the R language! I would love to learn more of the capabilities of the program through this online tool.

JH

4.0评论日期:Mar 26, 2020

The instructions for the final project need to be much clearer. I had a hard time figuring it out, and all of the projects I peer-edited were done poorly. Otherwise, I enjoyed the course very much!

HD

5.0评论日期:Mar 30, 2018

The tutor makes it really simple. The given examples really helped to understand the concepts and apply it to a wide range of problems. Thank you for this. Wish I could complete the assignments too.

SG

4.0评论日期:Jun 18, 2019

The contents of the course about statistics are friendly to the beginners and easy to understand, however, the R learning is a little bit hard to those who have no computer or coding background.

HU

4.0评论日期:Dec 13, 2017

The lectures were very clear and concise and the examples were very relevant. Some of the R instructions left a little something to be desired, but nothing a little time and google couldn't solve.

YK

5.0评论日期:Oct 18, 2021

Great course, which is very well explained. I loved how every module has a lab assignment, which makes theory easier to understand. Final project was very interesting too! Highly recommend.

SH

4.0评论日期:Jul 7, 2020

They could have touched more R. Otherwise everything is fine. But it is very easy to clear the course. Even the peer reviewed assignment is wrongly reviewed many times whether positive or negative.

MM

4.0评论日期:Jul 5, 2019

Good but questions lacked clarity in what is expected. i.e. "Work out the Boy to Girl ratio" - in what fashion do we do this, as it appeared to be the same as simply working out the "proportion of b

AM

5.0评论日期:Feb 7, 2021

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!

SF

5.0评论日期:Jul 24, 2021

Nice course! The professor gave very clear lectures to us, and the textbook is excellent and detailed. It took me more than 20 hours to finish the entire course, but I learned a lot from it!

KC

4.0评论日期:Oct 11, 2020

The only thing I may have not liked in this course is that they do help you in forums and that kind of stuff but a little video for your first R assignment with some of the R basics would be great.

SN

5.0评论日期:Mar 11, 2019

This course was quite helpful for someone who like me who doesn't have a strong understanding of statistics. The highlight of the course was learning a new data analysis tool - R and RStudio.