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.
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The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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Meilleurs avis pour BIOSTATISTIQUE MATHÉMATIQUE COURS INTENSIF 1
Not your average Coursera Course! Actually challenging. Brian Caffo's voice sounds a bit likw Sheldon Cooper!
A whirlwind tour of statistics. Questions are very tough. You have to rack your brains hard, to solve them. But well worth the effort.
Good course, needs updating, since it was a first generation course. Worth taking, but make sure to review a bit of Calculus, especially integration.
Brian Caffo is the best statistics teacher I have ever had. I like how he breaks down things and he covers the ways to think about statistics far beyond any course I have taken.
À propos du Spécialisation Advanced Statistics for Data Science
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.
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