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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.

18 out of 18 people found the following review useful

4 years ago
**completed** this course.

I apologize in advance for how angry this course makes me. It is teaching like this that makes people believe that math is inherently difficult or that you have to have a certain mindset to do math. That simply isn't the case at all. I have a degree in math, teach statistics and have considered becoming an actuary. I k
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I apologize in advance for how angry this course makes me. It is teaching like this that makes people believe that math is inherently difficult or that you have to have a certain mindset to do math. That simply isn't the case at all. I have a degree in math, teach statistics and have considered becoming an actuary. I know my statistics! Still I found myself being confused as to what exactly Professor Caffo was trying to say at times. I have no doubt that he is able to teach this stuff well at Johns Hopkins but Prof. Caffo seems oblivious to online learning.

My absolute biggest problem with this course is not the length of the videos, or the poorly designed slides. It is the lack of problems that really makes me mad. The only way to learn math is to do math. That is it. There is no other way. You can watch all the video lectures you want and read all of the math books in the world. If you do not do problems you will not master the material.

My absolute biggest problem with this course is not the length of the videos, or the poorly designed slides. It is the lack of problems that really makes me mad. The only way to learn math is to do math. That is it. There is no other way. You can watch all the video lectures you want and read all of the math books in the world. If you do not do problems you will not master the material.

10 out of 10 people found the following review useful

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

Brian Caffo is a terrible lecturer, and I can say that with experience after completing MBB1 and still taking MBB2. As a result, these courses are very difficult to do, especially because I am learning statistics for the first time.
He stumbles often, which makes it hard to follow him, but most infuriatingly, he goes
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Brian Caffo is a terrible lecturer, and I can say that with experience after completing MBB1 and still taking MBB2. As a result, these courses are very difficult to do, especially because I am learning statistics for the first time.

He stumbles often, which makes it hard to follow him, but most infuriatingly, he goes off on tangents, and then I lose him.

I often question whether I've learnt anything at all from these two courses. I definitely do not recommend Caffo as a lecturer nor recommend these courses if you are learning statistics for the first time; you will be lost!

He stumbles often, which makes it hard to follow him, but most infuriatingly, he goes off on tangents, and then I lose him.

I often question whether I've learnt anything at all from these two courses. I definitely do not recommend Caffo as a lecturer nor recommend these courses if you are learning statistics for the first time; you will be lost!

5 out of 6 people found the following review useful

3 years ago

This class moves extremely quickly over the high level topics of statistics. It is focused on applications and there are very few derivations or intuitions. I would advise not attempting this as a first statistics class. Instead, if you are new to stats, learn statistics from a more comprehensive intro class (there are
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This class moves extremely quickly over the high level topics of statistics. It is focused on applications and there are very few derivations or intuitions. I would advise not attempting this as a first statistics class. Instead, if you are new to stats, learn statistics from a more comprehensive intro class (there are a large number of these available from various platforms like Udacity, Edx, and Coursera). This course is most helpful if you already have prior exposure to the basic concepts of statistics but want a quick refresher to bring yourself back up to speed. In the latter sense it can be quite helpful.

1 out of 2 people found the following review useful

3 years ago

is taking this course right now, spending
**5 hours** a week on it and found the course difficulty to be **medium**.

Based on module 1 (of 4) pros:
- pretty well-explained despite quite complex subject matter
- quiz 1 was reasonable in difficulty
- ungraded practice homeworks
- 3 attempts for quizzes (reduces exam stress a bit)
- helpful CTAs
Cons:
- some lectures a bit long
- Prof Caffo digresses a bit in some
- the biggi
Read More

Based on module 1 (of 4) pros:

- pretty well-explained despite quite complex subject matter

- quiz 1 was reasonable in difficulty

- ungraded practice homeworks

- 3 attempts for quizzes (reduces exam stress a bit)

- helpful CTAs

Cons:

- some lectures a bit long

- Prof Caffo digresses a bit in some

- the biggie: not enough practice questions (160 inc h/w & quizzes for whole course)

Perhaps very bright people can get a firm grasp of introductory math stats with only 160 practice questions in total (& worked solutions for only 80 of these). I don't think I can, but regardless this has the makings of a good refresher/intro if you have access to a textbook with more solved questions - I'm looking for a cheapo old edition right now!

- pretty well-explained despite quite complex subject matter

- quiz 1 was reasonable in difficulty

- ungraded practice homeworks

- 3 attempts for quizzes (reduces exam stress a bit)

- helpful CTAs

Cons:

- some lectures a bit long

- Prof Caffo digresses a bit in some

- the biggie: not enough practice questions (160 inc h/w & quizzes for whole course)

Perhaps very bright people can get a firm grasp of introductory math stats with only 160 practice questions in total (& worked solutions for only 80 of these). I don't think I can, but regardless this has the makings of a good refresher/intro if you have access to a textbook with more solved questions - I'm looking for a cheapo old edition right now!

3 out of 4 people found the following review useful

3 years ago

I took this course because I felt biostatistics would be interesting and useful for me as a biology student, struggled a little with the concepts but Prof Caffo did a good job of explaining and the exercises / assessments are very reflective of how well you know the material - makes it very easy to identify areas which
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I took this course because I felt biostatistics would be interesting and useful for me as a biology student, struggled a little with the concepts but Prof Caffo did a good job of explaining and the exercises / assessments are very reflective of how well you know the material - makes it very easy to identify areas which need to be reviewed.

Am looking forward for Biostatistics Boot Camp II to be offered at a time that fits my schedule so I can take the follow up to this course!

Am looking forward for Biostatistics Boot Camp II to be offered at a time that fits my schedule so I can take the follow up to this course!

2 out of 3 people found the following review useful

2 years ago
is taking this course right now.

I have taken graduate level biostats online through a traditional program and done well. Biostats is a difficult subject, so I thought the Biostatisical Bootcamp course would be a good review before I took further classes. In Bootcamp, there is a huge emphasis on calculus that I didn't anticipate. None of the course d
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I have taken graduate level biostats online through a traditional program and done well. Biostats is a difficult subject, so I thought the Biostatisical Bootcamp course would be a good review before I took further classes. In Bootcamp, there is a huge emphasis on calculus that I didn't anticipate. None of the course descriptions mentioned a need to know calculus. I am hampered at the moment by trying to learn the calculus required to complete the quizzes.

2 years ago
**completed** this course.

I am currently a Sophomore in High School and with Coursera I have already taken two courses, Calculus 1 with Jim Fowler and Computer Science 101. I loved these two and finished with As. When it comes to this course, I felt it was horribly explained and Mr. Caffo provided no examples with these complicated topics and
Read More

I am currently a Sophomore in High School and with Coursera I have already taken two courses, Calculus 1 with Jim Fowler and Computer Science 101. I loved these two and finished with As. When it comes to this course, I felt it was horribly explained and Mr. Caffo provided no examples with these complicated topics and was disappointed at the lack of preparation, explanation and explicitness. Although I did like his course topics and felt it was well planned.

3 out of 5 people found the following review useful

3 years ago
**completed** this course.

I liked this course very much, because I was interested in the math behind bio-statistic. This course was challenging and I spent more than 8-12 hours a week to understand the material. I have done afterward a biostat-course in a masters programs, and I can tell the difference. Brain Caffo did an excellent job!

2 out of 3 people found the following review useful

4 years ago
**completed** this course.

This is a good course on basic statistics.

Not much of the "bio-" part of biostatistics though. Sadly, it was my primary interest.

People with statistical background may find it easy, but I would recommend it as an introductory course on statistics.

Not much of the "bio-" part of biostatistics though. Sadly, it was my primary interest.

People with statistical background may find it easy, but I would recommend it as an introductory course on statistics.

2 out of 2 people found the following review useful

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

This course is ok and will give you most of the basic tools you need but it's a very academic.

It lacks a bit practical examples. It's mostly static powerpoint with voice-over more effort could have gone into making it more MOOC friendly.

It lacks a bit practical examples. It's mostly static powerpoint with voice-over more effort could have gone into making it more MOOC friendly.

0 out of 2 people found the following review useful

5 years ago
**completed** this course.

Good choice of topics covered, well done presentations, useful homework exercises, nice overview of the context in which the discussed methods can be applied. Very enjoyable!

0 out of 1 people found the following review useful

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

2 out of 5 people found the following review useful

5 years ago
**completed** this course.

Clearly more than intermediate class which tends to mathematics statistics, but very well documented and presented materials by professor Caffo. Moreover, not usual exercises for careful students and in most of the examples was used R language.

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