返回到 Probability and Statistics: To p or not to p?

4.5

162 个评分

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44 个审阅

We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for "black swans" - low-probability high-impact events.
To study, or not to study? To invest, or not to invest? To marry, or not to marry?
While uncertainty makes decision-making difficult, it does at least make life exciting! If the entire future was known in advance, there would never be an element of surprise. Whether a good future or a bad future, it would be a known future.
In this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.
Key topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course....

Nov 28, 2018

Hi,\n\nThe course taught about the basics and that's exactly what I was looking for. I learnt a lot, and so many things which I hear and read, became clearer and more meaningful. Thanks you!

Sep 16, 2018

Best course on the concepts of Probability and statistics , for the beginners. Dr.James Abdey provides lot of examples from the everyday life .

筛选依据：

创建者 Spyros K

•Nov 17, 2019

Great gentle introduction/revision of basic probability and statistics concepts.

创建者 BogdanC

•Nov 15, 2019

great course

创建者 John J S

•Nov 17, 2019

Very simple and high level but also extraordinarily clear and well presented. The course is a survey so breadth of covered material is intense: just as one area is developed enough to become truly interesting the course must move on to another area. This is an appetizer. An amuse bouche.

创建者 Jordi a

•Nov 26, 2018

Basic introduction to the world of statistics, well structured and supplied with reading materials. Quite elementary, I'd say at most it's a HS/pre-college level overview of different fields and concepts. The lecturer conveys a strong appreciation for the subject. Recommended for those who want a first approximation to the subject.

创建者 david w

•Mar 19, 2019

The course material was top notch I learned a lot. It was an excellent crash course, and beautifully explained. I took off a star because the failure of the grading system in Assignment #2 / Week 5 cost me a lot of time, and likely affected many of my peers as well. That type of technical glitch is unacceptable in MOOC, particularly because there doesn't seem to be anyone around to support the students. Thanks for resolving it, though, whoever you are!

创建者 Weichi C

•Jan 31, 2019

The concept is well presented with the assumption that further research and dedication needed is required to get to next level.

创建者 Mayur P K

•Sep 10, 2018

Great Course.

创建者 Guillermo K

•Oct 18, 2018

Great overview, it could have used more practice problems and tougher questions

创建者 Eyob

•Nov 06, 2018

funny charming and full of numbers

创建者 Grigory S

•Nov 08, 2018

The first course I've paid for to get a certificate.

For me it's VERY hard to understand any theoretical math-related concept from video-lectures. I need to read paper for it and there are paper for every video in this course.

I am very thankful about it but the main purpose of video is missed: VISUALISATION very important in teaching math concepts especially such practival one as statistics. I wish there'd be more videos with lovely visialusation of sample data and it's statisitcs to get students a general feeling of what all this 'boring' calculations looks like.

I also understand that one course is not enough to have good knowlegde of statistics and read books while completing this.

创建者 Giovanni B

•May 23, 2019

Very interesting course, well explained, I found the material useful. The reason I do not give 5 stars is that I found the course somewhat slow, it took a long time to explain certain concepts, and not broad enough, concentrating on a few very specific areas of probability and statistics.

创建者 Ritesh R

•Jun 09, 2019

God course for beginners level.

创建者 Olivera M

•Jun 12, 2019

I really liked the course, I would just say that this is for complete and absolute beginners who haven't had any interactions with statistics and that it wont leave you with a lot of practical knowledge, more of a broad idea of what statistics could do for you.

创建者 Mehran Y

•Oct 14, 2018

The subjects and examples are OK. However, the technical side of the course is missing!. The idea of most videos could be explained in 1 or 2 minutes rather than 10 minutes. The assignments are quiet simple and no challenging at all. Some times I was so bored which I watched the videos at 2x speed. Finally, the review process of other students has a big bug which I realized that this bug existed from the first day and people are confused about how to review other students, however, the bug is still there. IF you already know a little bit about statistics I do not suggest this course. If you know nothing and want to know what is statistics about (in a very basic and simple manner) then watch this course as a fun!

创建者 Daniel D

•May 09, 2019

Nice overall introduction to statistics, but suffers from bad grading mecanism when perofrming peer graded assignments.

创建者 Rodney M

•Mar 10, 2019

Horrible.

Too much talking or woffling as i came to call it. Dumbed down too much. We know what a toolbox is. Don't give us an example of how a toolbox is used. This is just an example of the level of stupidity you must assume your students have.

Week 1 was a waste of time and weeks 2 and three could have been summed up in a 10 minute video.

You skipped over probability and straight into statistics without mentioning any of the useful things of probability like the laws of probability. Communicative, Distributive etc.

I've learnt almost nothing from this. Will not recommend at all. Not useful at all.

创建者 Cor v H

•Nov 05, 2018

Flawed assessment system. Superficial.