Introduction to Probability and Data に戻る

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786件のレビュー

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....

Jan 24, 2018

This course literally taught me a lot, the concepts were beautifully explained but the way it was delivered and overall exercises and the difficulty of problems made it more challenging and enjoying.

Sep 04, 2019

Very clearly explained and the pace is awesome! I really enjoy each deadline and l can already see how it is impacting my day to day work and life. I ook forward to completing the course! Thank you.

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by Valeriy K

•Oct 25, 2019

I couldn't be more happy with this course. Super rich course materials, diverse tasks, hands-on labs, and many more. I really love the textbook, Open Statistics - the best statistics guides I've seen so far. Huge thanks to the professor Çetinkaya-Rundel!

by Zhou C

•Aug 24, 2017

A great course by Professor Çetinkaya-Rundel whose teaching is very easy to understand. It was really instrumental and interesting to join this course especially when I dealt with those related assignments and ran R in the lab. Strong recommendation!!!

by Sarah W

•Apr 27, 2018

Excellent course! I learned a lot about probability, and it was clear that a lot of work went into this curriculum. The slides were already perfect for taking notes from, and the examples were great. The instructor spoke very clearly and was awesome.

by Bruno R d C S

•Nov 14, 2017

Excellent introduction to statistics. An good refresher to whom have already taken such a course long ago. The course content is mostly focused on basic statistics and math, so the R programming is quite challenging if you are a complete newbie to R.

by Tae K K

•Apr 19, 2016

I have not taken Statistics 101 and Probability Theory 101 since college. This course was a great refresher course for review! I highly recommend this course as a refresher/review course to jump into real-world-application courses down the road.

by Khaled A I

•Dec 12, 2019

The course is very organized and informative. explanation is very clear.

the only issue is that the final project requires R skills that are not taught during the course. The labs during the course is extremely primitive compared to that project

by Charly A

•Nov 26, 2016

The professor is fantastic and the content is top-notch. A great mix of theory and real-world application. The course is not math-heavy but provides enough additional material for one to delve into those details. I highly recommend this course!

by Lindsay C

•Dec 13, 2018

This course was a good introduction to basic probability, experimental design, and data structure. The labs and final assignments made great use of R Studio and markdown. This course is best suited for someone who is proficient in R already.

by Prashant S

•Aug 22, 2017

The course was structured and explained in easy to understand fashion. The project submission at the end of the week was a challenge for a beginner like me, but having submitted it and gained a good grade on that is a satisfying experience.

by Yu L

•Apr 17, 2018

Useful course! very clear to make points. The instructor is very good at teaching. recommend. One thing I don't like is that for the peer review project, you have wait to long before some one else review your work and get the certificate.

by François P

•Jul 26, 2016

A very nice intro to the topic!

The course is problem-oriented and introduces important concepts in relation to questions that will interest the student. It also gradually introduces R and its use for statistics analysis. I recommend it.

by Saransh A

•Jun 27, 2016

Absolutely wonderful course

With the basics of Probability and Statistics to it's implementation in R

Everything is very simple and the text book is very much in accordance to the course, also the lab exercises are very well planned out

by James H

•May 05, 2016

Interesting and enjoyable. Very clear explanation of concepts in the videos and text. Begin using R in the first week, with exercises that allow you to pick up a few commands fairly easily and start analysing data and creating graphs.

by Ignacio S U

•May 28, 2017

I've been using coursera for over 4 years and never had I seen a course as good as this. It is pretty concise and integral. It plays between theory and practice and recommends a handful of references. The course is totally worth it.

by Wang Y

•Oct 18, 2016

A great course to start learning about probability and statistics, as well as basic R programming. The final assignment is quite challenging for an introduction course, so plan ahead to make sure you have enough time to complete it.

by Alberto P

•Jun 22, 2018

Great introduction to probability. It's brief, it contains great tools and strategies on how to evaluate a statistical situation. It shows a nice start on how to use R with RStudio. Great for beginners on R and/or probability.

by Minas-Marios V

•Oct 28, 2016

Very good introductory course! The lectures were very interesting, highly due to the instructor's engaging and passionate attitude ! Very smart and helpful quizes too, with a very detailed data analysis project at the end!

by Balachandar K

•Jun 27, 2016

Professor Rundel makes the subject interesting by quoting real time examples in the videos. This course will certainly help beginners in statistics. The entire specialization is a step by step process to master statistics.

by Fish

•Mar 16, 2019

I have learned a lot details which I am confused from other courses in the course. I think that it can take more details in it, such as the inference about the formula of the binomial distribution!

Thank you a lot teacher!

by anthony w

•Sep 22, 2017

Im really glad I took this course and had the direction of a competent teacher and staff. I made more traction than studying on my own. Its amazing how flexible R is and I look forward to using it professionally one day.

by shankha m

•Jan 16, 2019

The best learning happened through the peer graded project and reviewing others' work. However, the course focuses more on statistics. If the learner wants a good grounding on R this may not be the best course to take.

by Jie W

•Mar 20, 2018

Absolutely a must taken course for social science students. The instructor is very articulate and explains theories， concepts and formula clearly. The exams and assignments are necessary for strengthening your learning.

by Derrick G

•Aug 13, 2019

This is great. I have so many notes from only the first Week of classes. The teaching style is very engaging for an introduction class. A little theory, a practical example or two, and then a practice project. Great!

by Rachit K

•Sep 21, 2017

Great instructor. Miné explains things really well. I have taken a few statistics courses and I consider myself well conversant with the basics, despite that when she explains the fundamentals I learn something new.

by Stefanie

•Nov 19, 2017

The course gave a great introduction to statistics and R. I think it would have been more helpful to have a pre-requisite reading for RStudio before jumping into the projects but the course was overall very good.