What are MOOCs?

How do I register?

To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.

How do these MOOCs or free online courses work?

MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.

Based on 18 reviews

- 5 stars 28%
- 4 stars 17%
- 3 stars 22%
- 2 stars 28%
- 1 star 6%

- 1

5 years ago
**completed** this course.

Prof. Conway clearly knows his stuff, and I am pretty sure that his teaching works for his Princeton psychology students, but in my opinion this course should be avoided by most other students. To start with the title suggests that it is a general introduction to statistics, it is not, it is an intro to the statistics you need when you do psychological experiments (a rather specific sub-field of statistics). The learning curve is rather steep, basic concepts are mentioned but not really explained, the underlying mathematics are taken for granted. R is used to do the statistical calculations, on the one hand that is a good choice, R is great, it is free and is really used by researchers all over the world, on the other hand R is hard to learn for the novice. What is good, maybe even excellent, is that prof. Conway clearly shows how statistics is used in real research, if that is what you are looking for then this course is for you. However when your are looking for a gentle introduction

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Prof. Conway clearly knows his stuff, and I am pretty sure that his teaching works for his Princeton psychology students, but in my opinion this course should be avoided by most other students. To start with the title suggests that it is a general introduction to statistics, it is not, it is an intro to the statistics you need when you do psychological experiments (a rather specific sub-field of statistics). The learning curve is rather steep, basic concepts are mentioned but not really explained, the underlying mathematics are taken for granted. R is used to do the statistical calculations, on the one hand that is a good choice, R is great, it is free and is really used by researchers all over the world, on the other hand R is hard to learn for the novice. What is good, maybe even excellent, is that prof. Conway clearly shows how statistics is used in real research, if that is what you are looking for then this course is for you. However when your are looking for a gentle introduction to statistics you should avoid this course (Udacity has a nice one, have a look at that)

5
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5 years ago
**completed** this course.

I've now taken two courses at Coursera and I gave the other one a 5 star rating. Sorry, I can only give this one two stars. Prof. Conway obviously knows his stuff and his teaching style may be well suited to traditional learning but this course is supposed to be a MOOC and a lot more thought needs to go into presenting this course in this medium. Not enough time is given to explaining concepts. A huge amount of time is spent with Prof Conway presenting formulas to the class via Power Point presentations. Hasn't anyone at Princeton read what Edward Tufte has to say about Power Point? Also, there was too much time spent sharing baseball stats anecdotes - time that could have been spent explaining the math behind the formulas.

3
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5 years ago
**completed** this course.

Very informative class. Professor Conway knows his subject very well. Media presentation is excellent. Unfortunately, class is skewed toward psychological studies and becomes very difficult to follow somewhere after equator.

1
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2 years ago

Can anyone help me understand how to start this course? I selected "Go To Class" and I dont see any option to play the sessions in Coursera link.

0
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4 years ago
**completed** this course.

really the best statistics instructor ever! Really clear and bright, very helpful!

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2 years ago
**audited** this course.

Not recommend anyone to take it, unless you are a psy student and had stat before.

This course is Only appropriate for social students to refresh their mind on stat, that's all.

So much important stat concepts are not even mentioned in the course and for those concepts that mentioned, no detailed math/stat principle explained.

Cnt believe this is a Princeton version.

This course is Only appropriate for social students to refresh their mind on stat, that's all.

So much important stat concepts are not even mentioned in the course and for those concepts that mentioned, no detailed math/stat principle explained.

Cnt believe this is a Princeton version.

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2 years ago
**completed** this course.

Conway may know his stats, but this class is certainly not for everyone. Concepts should be explained in much greater depth. This is really just a surface scratching that is not yet thoroughly developed.

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2 years ago

by
**partially completed** this course, spending **7 hours** a week on it and found the course difficulty to be **medium**.

I think this an excellent course for people with few knowledge in statistics. R is an excellent language for this topic

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4 years ago
**completed** this course, spending **2 hours** a week on it and found the course difficulty to be **easy**.

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