R ProgrammingLinear RegressionStatistical Hypothesis TestingStatisticsLinear AlgebraConfidence IntervalBiostatistics
Programa de cursos integrados Advanced Statistics for Data Science
Familiarize yourself with fundamental concepts in probability and statistics, data analysis and linear models for Data Science.
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Programa de cursos integrados Advanced Statistics for Data ScienceUniversidade Johns HopkinsO que você vai aprender
Learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and more.
Understand the matrix algebra of linear regression models.
Learn about canonical examples of linear models to relate them to techniques that you may already be using.
Habilidades que você terá
Sobre este Programa de cursos integrados
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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.
This specialization starts with Mathematical Statistics bootcamps, specifically concepts and methods used in biostatistics applications. These range from probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.
This specialization also linear models for data science, starting from understanding least squares from a linear algebraic and mathematical perspective, to statistical linear models, including multivariate regression using the R programming language. These courses will give learners a firm foundation in the linear algebraic treatment of regression modeling, which will greatly augment applied data scientists' general understanding of regression models.
This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
Projeto de Aprendizagem Aplicada
The Advanced Statistics for Data Science Specialization incorporates a series of rigorous graded quizzes to test the understanding of key concepts such as probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.
Resultados de carreira do aprendiz
17%
Conseguiu um aumento ou uma promoção.
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível avançado
This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
Aprox. 5 meses para completar
2 horas/semana sugeridas
Inglês
Legendas: Inglês, Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Espanhol
Resultados de carreira do aprendiz
17%
Conseguiu um aumento ou uma promoção.
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível avançado
This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
Aprox. 5 meses para completar
2 horas/semana sugeridas
Inglês
Legendas: Inglês, Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Espanhol
Este Programa de cursos integrados contém 4 cursos
Bioestatística Matemática: Treinamento 1
333 classificações
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.
Bioestatística Matemática: Treinamento 2
81 classificações
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
Advanced Linear Models for Data Science 1: Least Squares
144 classificações
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:
Advanced Linear Models for Data Science 2: Statistical Linear Models
65 classificações
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:
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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.
Perguntas Frequentes – FAQ
What is the refund policy?
Posso me inscrever em um único curso?
Is financial aid available?
Posso fazer o curso gratuitamente?
Este curso é realmente 100% on-line? Eu preciso assistir alguma aula pessoalmente?
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