This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. 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 course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data...

Mar 01, 2017

Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!

Aug 24, 2017

This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!

필터링 기준:

대학: Diego R G

•May 25, 2019

A very good introduction to the fundamentals of inference and NHST. It's very important that you do all excercises and readings or you will not learn as much. Also, the course won't provide a lot of information on how to use R, but if you spend a good amount of time on your project and make sure that it's good you will learn enough. I had to review a lot of R projects that were not very good, which suggests that some students aren't learning what they should.

If you want to learn statistics or have limited knowledge on the topic, and also want to learn a bit about how to use R, take the course. If you already know statistics and you only want to learn R, then this might not be the course for you, as the emphasis is on statistics per se.

대학: Chanuwas A

•Nov 21, 2018

The course is very useful and helps me understand the formal testing process of data analysis. I just hope it would cover more of non-parametric testing techniques and dive into a bit more into effect size testing. Anyway, It also provides a lot of insights into important statistical measures of information, which could potentially be extended to the field of predictive modeling and machine learning.

대학: Jamison T

•Jul 05, 2018

I should not be charged if I have completed the project and simply waiting for other users to review it. This is dependent on how many users are taking the course at any given time. A bad system that results in users paying more for uncontrollable uncertain factors...

대학: Robin M

•Jun 17, 2019

Great course, more difficult than the first module. The code was super useful to learn.

대학: Nandkishore

•Jun 12, 2019

seeking statistics inference through example in very convenient and easier way

대학: Heungbak C

•Jun 06, 2019

Very useful and meaningful lectures!

I learned many things from this course.

Thank you.

대학: Evren O

•Jun 02, 2019

At times it feels lazy how it is put together. The examples are confusing (rather than clarifying) and there is close to no teaching of R, but the assignments are meant to be done on it. In fact in the forums it is endorsed by mentors to learn R somewhere else. Likewise, I saw one comment where the student mentioned how they got confused by a core concept (p-value) and could finally wrap their head around it by watching a Khan Academy video. And sadly, this was also endorsed by a mentor. Overall, I found the effort put into this course insufficient for people who are new to Statistics or R. Therefore, the name of the entire specialization becomes misleading as it suggests that we were going to be taught how to use R in statistics. I had high hopes for this course but sadly I will abandon it and spend my money on an alternative course/specialization.

대학: schlies

•May 31, 2019

good course

대학: Ruben D S P

•May 28, 2019

great class, I improved many Statistics skills and learned R at the same time

대학: Amruta G

•May 23, 2019

It's a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.

대학: Natalie R

•May 21, 2019

Well-taught, but they need to provide more resources to help people learn R. R is not a user-friendly app and I needed to google how to do a lot of the things they're asking us to do. Needless to say, I can google how to work in R on my own without paying Coursera a fee.

대학: Ondina F P

•May 17, 2019

Very good explained course, with lot of useful exercise, so you can be sure to understand the theory. Th practical examples in R are well designed and explained. This is definitely a must for someone interested in statistics, with beginning concepts that you need to keep in mind for further coursers. The teaches is also excellent, explanation and examples are very good. Recommended!

대학: Rui Z

•May 14, 2019

Professor Mine is terrific. I'm sure she has a great depth of knowledge and grateful that she's able to deliver her knowledge out to listeners. She uses meaningful examples all along the course, no dry pure mathematical cases at all. That helps a ton to digest concepts. And she constantly repeat some core concepts and how to interpret a statistic right. I didn't realize how important this was until I was challenged with questions, then I came back and hear again her interpretation, and the whole thing became clearer. She's one of the best professors I've ever listened to, and I've been through grad school, met so many professors.

The current mentor Rolf was great at supporting. He answers a lot of questions in the forum. He's very responsible and supportive. So if you're considering on taking this course, take it now as mentor will change!

I haven't finished the course yet, but the enrollment rate seems to be quite decent, so I wouldn't expect it to take too long to get final project reviewed and get certificate. I assume this is an important issue for any course takers.

The only downside is that there could be more R code teaching, especially on complicated simulations. That way it may be more friendly to R beginners. I know it's important to do research ourselves for codes, but beginners could lack of proper terminology or vision by nature to do the research on Google. Especially when I'm physically in the Main Land of China, where it takes some efforts to even get on Google, so doing code research took a lot of my time and was a little frustrating towards the end.

But again, the overall course and support are great! If this is not a 5 start course, I can hardly give out my highest mark to any other courses. It helped me to understand inferencial statistics, practice R, and think more like a statistician.

대학: Jacob T

•May 07, 2019

The best online course I have taken so far. It teaches you all the statistical methods you need to do for inference. The lessons are well taught and organized in a way where each lesson builds off the previous. The final project is also a great way to put everything you learned throughout together.

대학: Lalu P L

•Apr 22, 2019

Awesome Course

대학: Afzal A

•Mar 22, 2019

Expertly designed course, Useful.

대학: Galin D

•Mar 18, 2019

Very relevant to modern day needs of a data scientist/statistician. Easy to understand as a relative beginner.

대학: Akther H

•Mar 17, 2019

Excellent course.

대학: Chen N

•Mar 15, 2019

Much better than the course offered by John Hopkins University on the same subject. Concepts are clearly explained with detailed examples. Nice course to solidify your statistics skills. And BTW, really cute professor :)

대학: Richard M

•Mar 08, 2019

Generally a great course, but would benefit from a better explanation at times of how to use R effectively.

대학: Amarendra S

•Feb 26, 2019

Had a great learning experience with in depth knowledge of statistics, inference and hypothesis. Structure of the course helped me grasp things in an organized way. The use of real time data to explain concepts had a great impact in making things easier to understand and relate to things around us.

대학: priyesh s

•Feb 25, 2019

This course is super and explained so well by the professor. I would recommend this course to anyone who has interest in data science

대학: Amit C

•Feb 18, 2019

The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided

대학: Henri M

•Feb 14, 2019

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대학: Aleix D

•Feb 12, 2019

Excellent! Clear and very interesting.