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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Universidade Johns Hopkins
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.
- 5 stars63,53%
- 4 stars24,54%
- 3 stars7,56%
- 2 stars2,06%
- 1 star2,29%
Principais avaliações do BIOESTATÍSTICA MATEMÁTICA: TREINAMENTO 1
The content is in-depth and the instructor is knowledgeable, but the quiz demands a quite wide knowledge base and does not provide feedback.
Great course, though a little difficult in parts, particularly the first week. Worth working through though for a better understanding of probability and statistics.
A whirlwind tour of statistics. Questions are very tough. You have to rack your brains hard, to solve them. But well worth the effort.
The course interpreted many concepts in an interesting ways and solve many confusions I used to have. Great course!
Sobre Programa de cursos integrados 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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