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Learner Reviews & Feedback for Mathematical Biostatistics Boot Camp 1 by Johns Hopkins University

4.4
stars
483 ratings

About the Course

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required....

Top reviews

AC

Mar 25, 2023

Very nice and informative course, with really interesting examples. I like Brian's lectures and his humour and I find him very knowledgable and informative. I would definitely recommend this course.

DH

Jun 4, 2017

I knew a lot about probability before starting this course, but I didn't know much of anything about frequentist statistics. This course helped me understand some tricky concepts.

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26 - 50 of 110 Reviews for Mathematical Biostatistics Boot Camp 1

By Robert H

Feb 28, 2022

Course provides very little detail on the derivation of the formulas used and tested on homework and quizzes. It is better to just buy a book and learn it on your own rather than be frustrated with the lack of detail.

By Pedro R S d C

Mar 18, 2021

Very well balanced between mathematical reasoning and applications to analysis. It needs knowledge on algebra and rules of differentiating and integrating (go do some other mooc courses, or khan academy, if you lack these skills, and then come right back to it). Linear algebra I would say is not much of a requirement, neither R, just be prepared to get a little lost in some slides, but nothing you would really need for you to absorb the main content. The 1st assignment is the one actually quite challenging, but persevere through this one and you surely can complete the course, because it gets quite easier afterwards.

By Stephanie L S

Oct 22, 2021

This is indeed an advanced course, but as long as you study it with the right method, you could get through it (and obtain not-so-introductory level of knowledge). Just as everyone says in the review, you need to write down the notes. Personally, I also tried to do the examples given in the lectures before the solution is given, so I have a chance to try to apply the concepts on my own. That really helped me with the quizzes.

Additionally, you need to be comfortable with single variable calculus (especially derivatives and integrals) before starting on this course.

By Mihnea T

Jan 6, 2018

Great course, insuring the basics for statistical inference. Well thought explanations and a good examples. Does get a bit hard to follow with Lecture 14 (last one). Practice exercises and homework are great for applying the covered concepts. Pity there isn't much activity on the forum. Still, this course is a must if you want to have the stats ABC in order and move forward to other data science topics in full understanding of what's happening behind the scenes.

By Mikolaj K

Jan 2, 2019

Very thorough introduction to statistics (Definitely more generic than just "bio"). Some of the homeworks are very mathematical, but the main body of work is understandable without too much of mathematical effort. Extremely well paced and self-contained which is a signature of the best coursers materials.

Good starting point for all scientist eager to truly understand the tools we all use. I'm looking now for a follow-up course from professor Brian.

By Sven S

May 1, 2021

Great, concise introduction to probability and statistical testing. Be prepared to solve some integrals. Course material is pretty smooth though sometimes smaller errors are not corrected. Questions in the quizzes sometimes refer to notation or material covered in the next part. This can be a bit annoying. B. Caffo sometimes gives lengthy background motivation and then really quickly almost glosses over the math.

By Jingkai Z

Dec 3, 2021

This course is great. It covers many mathematical statistics principles required by biostatistics, with moderate difficulty. This is not a course for people without foundation. Its curriculum is more suitable for students who have a certain foundation in statistics and mathematics and want to start biostatistics learning, deeply understand more topics or do some reviews about the basic statistics knowledges.

By Francisco G S

Jan 24, 2021

Brian is an incredible professor. Really try to convey topics I was struggling to understand in an approachable manner. You will get a much better intuition of sample versus population parameters, confidence intervals and much more. Different methods for statistics (frequentist, likelihoods and bayesian) . I will move on to part 2

By Brett B

May 27, 2018

Does this really need to be called mathematical BIOstatistics? The content itself is regular mathematical statistics, just with examples from biology. Add in a couple of examples from elsewhere and the scope of the class is broadened. Still, as someone with a STEM background but not in biology, I found this course to be excellent.

By Nikos B

Nov 5, 2023

A very compact and insightful course-specialization in concrete concepts in Mathematical Probability Theory. It sets the background for the next courses of the specialization. I would say that it is an excellent online course in the related topics of Probability Theory, with an introduction to R (programming).

By John M G

Nov 5, 2020

Honestly, the course gave me a hard time. I'm sure that I was not able to get all the concepts completely but I'm thankful I get to use this course as a way to expose myself to these advanced concepts. Besides, it takes time and practice to fully understand these concepts. Thank you so much!

By Martin M

Jun 9, 2018

One of the greatest introductory courses on statistics available for free in the internet. If you are interested in the subject you should really go for it, but realize that indeed it is very difficult and you will need to do a lot of extra research, especially at the exercises. Great couse.

By Joseph V M

Jul 18, 2019

This course was informative. The strongest aspect of the course were the exercises; they were challenging, requiring me to think about the material and apply the material in a way that was not necessarily demonstrated in the lectures. I would have preferred more exercises, in fact.

By Huynh L D

Jul 2, 2016

This course should be part of the Data Science specialization. Actually, you can supplement the Statistical Inference course with these two Boot camp courses really well!

A great revision of statistics, very rigorous and thorough cover of all distributions and hypothesis tests.

By Julia H

May 26, 2023

This is a very rigorous course. The problem sets and quizzes require a good grasp of calculus and ideally some prior exposure to statistical concepts. The lectures are clear and were a fantastic review of the material at an advanced level!

By Mihai B

Dec 25, 2017

A very rare course which approaches introductory statistics rigorously. The stat courses I had at university introduced all these concepts without any justification, so I enjoyed the critical approach used here.

By Andrea C

Mar 26, 2023

Very nice and informative course, with really interesting examples. I like Brian's lectures and his humour and I find him very knowledgable and informative. I would definitely recommend this course.

By Daniel H

Jun 5, 2017

I knew a lot about probability before starting this course, but I didn't know much of anything about frequentist statistics. This course helped me understand some tricky concepts.

By Blake T E

Apr 5, 2018

This course is phenomenally well developed with great curriculum and materials for building astrong base to enter into statistics with a strong base of knowledge.

By Jessie Y

Oct 19, 2015

Topics presented well for comprehension, good lecture quality.

These topics are covered in grad level statistics courses at certain universities.

By Haresh S B

Jun 2, 2018

A whirlwind tour of statistics. Questions are very tough. You have to rack your brains hard, to solve them. But well worth the effort.

By Daniel L

Sep 7, 2018

Love the course, and its willingness to delve into the basics of the theory behind biostatistics. Wish there were more like it.

By Madhu K S

Mar 27, 2018

I liked the course. Need good maths skills. Would prefer to have a review/HW after each lecture than at the end of each week.

By JOSE D J N R

May 19, 2020

I think this a good course for practicing concepts, but the quizzes are not quite appropriate for a beginner's course.

By Minlu Z

Dec 16, 2020

The course interpreted many concepts in an interesting ways and solve many confusions I used to have. Great course!