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4.8

stars

1,561 Bewertungen

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281 Bewertungen

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!!!

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von Thomas B

•Oct 31, 2016

Really good course on inference. The statistical tools and the reasons why those tools are used, are explained well. I am looking forward to the last week's exercise and the next courses of the series. This one is a bit more difficult than the first course.

von Ako A A

•May 18, 2017

I found this course very exciting. The knowledge it imparts is so invaluable that I am keen to complete course after course. The lecturer also has a charm with which she holds your attention and makes learning quite a breeze. I give 5 stars unreservedly

von Cynthia J J

•Dec 29, 2019

This is a wonderful course with a very good instructor. Her explanations and observations are clear, concise and on point. I am so glad I am taking this course because now the mystery of statistics is over for me. I finally understand this logic.

von Patricia B

•Aug 04, 2017

This course is very complete. It helps, even who have already studied Statistics on university level before, to really understand the concepts on inference. The labs are cleverly built to help the student to use R and apply the concepts learned.

von Mrigank S A

•May 18, 2016

The course content is very comprehensive and all the concepts have been explained clearly. This course has helped me a lot in building my statistics skill. I would recommend this course to anybody who is looking to learn inferntial Statistics.

von Subodh C A

•Sep 17, 2017

An excellent course that was just right for me. I have started on course 3 and hope to complete the Capstone project eventually. My thanks to Prof. Cetinkay-Rundel and other members of the Coursera team for giving me this opportunity.

von Luo Y

•May 02, 2018

Very good course! With the course and the book you can get equipped with all the basic skilled needed for inference. Strongly recommended!

It took longer hours to study for me than the estimated time provided by coursera though

von Andreas Z

•Jan 07, 2018

This is a hands-on to the point introduction to hypothesis testing. The perfect course for showing "how it works" without bombarding the reader with maths. Also very well suited for relearning the material after 15+ years.

von 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 :)

von zhenyue z

•May 25, 2016

very awesome class for statistics, very clear explanation. recommend for any one who want to know statistics. This inferential class is much better than the one I took from JHU data science course. 5 star recommended.

von Krishnamurthy P

•Feb 25, 2017

It is my first course. Two weeks have passed and I am learning and relearning. The professor is really good and I am motivated every day to be on track. I registered for the course. I wish to pass the course.

von Bruno R d C S

•Dec 18, 2017

Excellent course for one seeking to understand the basics of Inferential. It as difficult as it sounds, but manageable and the additional course materials are enough for the intermediate level self study.

von Ann N

•Jun 29, 2017

Quite challenging, but I truly enjoy the Final project.

Video was fast, and a lot of Video to learn and ponder from :( not a bad thing, but I feel constantly under pressure. I learned A LOT!!.

Thank you.

von Zhou C

•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!!!

von Markus N

•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!

von Roland

•Jun 15, 2017

Awesome. I loved the way this course is done. I know what Test Statistic to use for what type of data and under which conditions. I am preparing a cheat-sheet that will be shared with all later on.

von Prakhar P

•Jan 22, 2019

The concepts are explained in a very simple and effective manner with the help of a case study. Background knowledge of R will be very handy if one wants to cover the topics at a faster rate.

von PAUL M

•Dec 13, 2017

Very well taught. Student given an opportunity to explore and search for ways to solve problems by themselves. Professor (mentor) and other students always ready to help should you get stuck!

von Arnold T

•Aug 31, 2016

The professor is one of the best instructers I've seen. I've struggled to understand these concepts before but this course just set everything straight. Lots of content to practice with too.

von Chin J L

•Mar 22, 2018

The subjects are presented very clearly and the lectures very enjoyable to watch. Although I have a basic knowledge on the subject this course improved my understanding on the subject.

von Wang Y

•Oct 18, 2016

I learnt a lot about inferential statistics from this course. It help me to understand better why I used one inferential method instead of another, and the assumptions and conditions.

von María J O

•Sep 01, 2016

This course is really well prepared. The material is very clear and good resources are provided for further learning. The quizzes and labs are always relevant to the course content.

von anthony w

•Nov 02, 2017

I really enjoyed this course and found the professors lectures better structured and clearer. I also like (and needed) the variety of datasets she used for instruction. Thank you!!

von Gary H

•Sep 25, 2017

This was hard; The Statistics part became harder and harder and the R part seemed to not keep up with it. You need to learn more R on your own, which is a challenge - there are man

von David H

•Jun 27, 2017

What I learned best is not the formula, but the approach to test the conditions, the discussion of source of potential bias, the selection of inferential statistics methods.