Retour à Biostatistique mathématique Cours intensif 1

4.5

239 notes

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55 avis

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....

Jun 05, 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.

Jan 12, 2016

Very concise, well-presented course. This was my second time taking it as a refresher. Prof. Caffo does a great job presenting the materials. However, prepare to be challenged.

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par Omar M B

•Jan 29, 2017

For prospective students who are looking to enter the biostatistics/epidemiology field in the future. This course is designed as an in depth fundamentals of biostatistics where Professor Brain Caffo dives deep into some of the key formulas, origins of statistical formulas, and theoretical aspects of statistics.

Great lecture with valuable information, however, due to the lack of engagement within the lectures, it absolutely leave students who have no background of Calculus or Linear Algebra in the dust with no reference to assist them in the course. Once or if a student has a solid foundation for the topics covered in this course, this information is very insightful and understandable.

you might ask yourself, someone who doesn't have a prior knowledge of the material covered in the course if you should even take part in the course, my answer would still be yes, so long as you are willing take notes, save the videos, and return back to them at a later point once you build yourself up by studying calculus, statistics, and/or linear algebra.

par Mengyu D

•Feb 18, 2017

推荐之前修过统计基础课程的人上，最好还学过一点R。

par 刘子潇

•May 16, 2019

This course taught me a lot on statistics, but the courseware is a little boring for me. I think the courseware will be better if it becomes more vivid. Overall it is a very good course and I get a lot of expected knowledge.

par Le B Y

•Apr 23, 2019

Very good course.

par Mikolaj K

•Jan 02, 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.

par Vivek

•Sep 09, 2018

Great course, excellent homework/quizzes and comparatively rigorous treatment by a great Prof.

par Daniel L

•Sep 08, 2018

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

par Ahmed E

•Aug 24, 2018

Content is very good but please make it more MOOC friendly. More diagrams and animations to help visualize concepts would be useful. Also try to give more layman explanations for concepts getting through stats jargon was sometimes a struggle. Overall a pleasing course though!

par Joseph L

•Jun 15, 2018

This is a very worthful course to SUFFER! I'd like to say, no camp, no gain. In addition to the statistics with math, I experience how important of "hang on there and never give up"!I'm going to the camp 2 to see what's gonna happen.

par Martin M

•Jun 09, 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.

par Haresh S B

•Jun 02, 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.

par 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.

par Sai Y

•Apr 08, 2018

Nice class!

par 竹攸

•Apr 07, 2018

Hopefully It can be more related to Bios, Yet it's a amazing course for stat.

par Blake T E

•Apr 06, 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.

par Madhu S

•Mar 28, 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.

par Mihnea T

•Jan 06, 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.

par Bizovi M

•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.

par Julian R S

•Nov 16, 2017

Great course which covers many aspects of statistics.

par Eva Š

•Nov 02, 2017

Very advanced, I liked instructor, the way he explained, very understandable!

par Rakshanya S

•Oct 26, 2017

Very useful course. Absolutely enjoyed learning .

par In K P

•Sep 25, 2017

Great

par 王彭越

•Sep 18, 2017

very interesting and able to follow!

par Marco C

•Aug 31, 2017

The content is in-depth and the instructor is knowledgeable, but the quiz demands a quite wide knowledge base and does not provide feedback.

par KJ B

•Jul 27, 2017

There are few quizzes to test skills, and lectures are not interactive. There are better course on this site for statistics learning.

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