Introduction to Probability and Data with R(으)로 돌아가기

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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....

AM

2021년 2월 7일

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!

AA

2021년 2월 24일

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!)

필터링 기준:

교육 기관: Krishnendu S

•2019년 4월 15일

Excellent! mind-blowing! I am immensely impressed by the way the coursed is designed. Very well balanced introductory course with an wonderful introduction of R (which is very needed for modern day statistical problem with huge data)! So extremely recommended for those who wants to kink start their understanding with statistics (in any field!!)!

교육 기관: Chin J L

•2018년 2월 8일

This course gives a nice introduction to fundamental concepts of Probability and Data. It also gives a glimpse on scientific studies. The topics are very well presented and the study material is excellent.

I highly recommend this course to anyone who does not have a background on the subject and wishes to have a better understanding of Statistics

교육 기관: Yize H

•2016년 10월 4일

This is a great course, very helpful for people who are interested in statistics and R. I learned a lot from the lecture. Apart from the compact lecture, I also learned a lot from the peer review process, the work I reviewed and feedback I got were very helpful, I was also shocked by the efforts present in the work and feedback. Great community.

교육 기관: Angela B

•2021년 12월 31일

The course is very well organized. The contents of the videos are well aligned with the quizzes and R Labs . Very clear presentation of the learning goals of each week. Excellent explanation of complex concepts i.e., starting from the basics and building up step by step. Nice and smooth way of bringing real-life examples to the video-lectures.

교육 기관: Ben G

•2016년 8월 29일

Excellent introduction to Statistics and Probability. The course progresses at a nice pace - not too much too fast. The textbook is a great resource, and it's written in a very easy to digest way, making the concepts clear and approachable. The videos further reinforce the textbook and help clarify the material.

This class is highly recommended.

교육 기관: PUNEET K

•2017년 6월 1일

I doubt there are many professors around the globe who can match Mine Çetinkaya-Rundel's clarity of thought, her structured thinking and most importantly the the way info was packed into this course. Love the Openintro book, I still refer to it in my day to day work. Great going folks from Duke. Will see you in the Inferential Stats Module !

교육 기관: RAGAVAN N

•2016년 6월 14일

It took less than 3 days overall for me to finish this course, but I did this just because I wanted to refresh the basics and see if I am missing something. At the end I learnt quite an amount. Prof. Rundel's explanation is clear and concise. I would take all the courses in this specialization just because of the way she explains things.

교육 기관: Stella L X T

•2020년 6월 6일

The learning curve is steep - the difference between the lab exercises in the first four weeks and the project to be completed in the last week is huge. But I think it teaches a critical component of programming, which is to develop a self-reliant attitude and learn how to seek answers on the web. Great course, looking forward to more.

교육 기관: Amruta G

•2019년 4월 7일

The course has been handled really well! I learnt a lot. I took this course to revisit the basics and get them conceptually clarified. And I am completely satisfied with what I have achieved.

The R programming part need instructions on how to work with an R Markdown File, I feel, as I myself spent too much time trying to figure it out.

교육 기관: Robert S

•2017년 12월 6일

Great, diversed material presented in a lively fashion. Inspiring and well explained. The supplementary coursebook with exercises gives the opportunity to study the subject deeper. A lot of real-life examples and a convenient way to practice using R. If the Statistics is for you, this will increase your motivation to study it.

교육 기관: James G

•2016년 5월 23일

Course covers a lot of material very efficiently. Instruction is concise, and provides a free online textbook for deeper learning on topics in case you don't fully understand them from the lecture. Be aware that the final project is a serious chunk of work, maybe 1/3 to 1/2 of the total time it took me to complete this course!

교육 기관: Clinton B

•2018년 4월 29일

Excellent introduction to Statistics, Probability, and Data Visualization! The professor explains it extremely well and supports her instruction with helpful examples. The associated textbook is both free and high quality. The instructor of the course was a co-author of the textbook which ties the course together very nicely.

교육 기관: Sankalp S

•2020년 7월 24일

One of the best online courses I have come across. No wonder it is so popular among data science enthusiasts. The programming assignments and quizzes were very interesting and challenging. Practice questions were available in plenty and I feel very confident of my R Programming and Statistical Analysis skills now. Thank you!

교육 기관: Serapion P

•2016년 12월 5일

All the concepts are very clearly presented and the instructor is really a great teacher!

What I liked the most is that special attention is given to the fine distinction between statistical concepts that students easily confuse, myself included.

The mentors are also very helpful and very prompt to respond to any questions.

교육 기관: Shao Y ( H

•2017년 2월 7일

I love how concise the lectures are, and also the quizzes provide explanations to questions I've done wrong. That's very helpful indeed. This is my first Coursera course with peer-review assignments - I'm impressed that classmates give useful and encouraging feedbacks. I also learnt a lot from reading other people's work.

교육 기관: Jhon J H T

•2022년 5월 23일

Course delivers as promised. Videos are very well produced and the instructor conveys information in a concise and clear way, making it easy to take the most out of each one. In conjunction , the material provided is very well structured and allowed me to take a firm grip on the not so easy concepts of probability.

교육 기관: Alexandra F

•2022년 2월 8일

You can see how much effort there was put into this brilliant course! The content is well structured, and the examples given are perfect for understanding. I had a great time completing it, and I feel that I made great progress in a short time. Thank you to Professor Mine Çetinkaya-Rundel! You are an amazing teacher.

교육 기관: Chanuwas A

•2018년 11월 21일

The course is rather easy to understand and covers most fundamental knowledge of probability that we need to know for data analysis purposes. However, the coding exercises are not enough to provide us an extensive technical skills for performing exploratory data analysis. But overall, it's a fun and awesome course! :)

교육 기관: Elaina K

•2022년 3월 18일

Overall the course is well designed and well structured. I was pleasantly surprised by the amount of help and examples available. The only significant issue I have is that the estimates provided for amount of time needed to finish each week and assignment is grossly under estimated. I would multiply it by 4 to 5.

교육 기관: Md H U

•2018년 6월 20일

Wish I had given statistics its due in my undergrads, either way if you were wise (unlike me ;)) or otherwise, this is the course for you if you want to brush up Statistics or want to pursue it from Zero. The Final submission for this course would give you a handsome understanding of both - Statistics as well as R.

교육 기관: Anil J

•2016년 11월 3일

Very informative and helped clear up the basic concepts from Probability, Sampling and the inference. Very lucid and easy to understand instructions. Introduction to R Studio was a little daunting for me, as I am unfamiliar, but hugely satisfying to grasp the basics and what all it can do for Statistical inference.

교육 기관: Jeffrey G

•2018년 9월 3일

This course reflects a new and better way to start approaching probability and data, using modern tools, texts, and approaches. It is a genuinely 21st century approach. The presentations, the labs, and the free textbook, are all in sync together to help people get the concepts and gain real comfort with the tools.

교육 기관: Kevin L

•2017년 6월 4일

Lectures were very well-prepared, slides were engaging, and there was a lot of optional but helpful reading material and exercise problems given. Overall a very well delivered introduction.

The final project was challenging in that it was open-ended, but it was also an opportunity to practice independent learning.

교육 기관: Paul N

•2016년 8월 8일

A great course for a practical introduction to R and to statistical concepts. Sets a great foundation for more advanced courses as part of this series or others. The tutor explains things really well and the examples bring theory into action clearly. The R labs really do help to solidify learning. Recommended.

교육 기관: Wilfred M S

•2018년 9월 7일

This is an excellent course with well articulated methods of teaching, visual presentation with well prepared learning practices. Learning is flexible provided the learners provide time in the course of the week however busy. It is simple to follow and enough support provided at any time online for the learner.

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