Informações sobre o curso: Este curso apresenta a probabilidade fundamental e conceitos estatísticos usados na análise de dados elementares. Ele vai ser ensinado a um nível introdutório para estudantes com formação matemática de nível universitário júnior ou sênior, incluindo um conhecimento prático de cálculo. Uma pequena quantidade de álgebra linear e programação são úteis para o curso, mas não é obrigatório.
Desenvolvido por: Johns Hopkins University
Ministrado por: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Compromisso | 3-5 horas/semana |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Introduction, Probability, Expectations, and Random Vectors
You are about to undergo an intense and demanding immersion into the world of mathematical biostatistics. Over the next few weeks, you will learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and much more. Module 1 covers experiments, probability, variables, mass functions, density functions, cumulative distribution functions, expectations, variations, and vectors.
13 videos, 2 leituras, 1 teste para praticar
- Reading: Syllabus
- Reading: Faculty
- Vídeo: Biostatistics and Experiments
- Vídeo: Set Notation and Probability
- Vídeo: Probability
- Vídeo: Random Variables
- Vídeo: PMFs and PDFs
- Vídeo: CDFs, Survival Functions, and Quantiles
- Vídeo: Expected Values
- Vídeo: Rules About Expected Values
- Vídeo: Variances and Chebyshev's Inequality
- Vídeo: Random Vectors and Independence
- Vídeo: Correlation
- Vídeo: Variance Properties and Sample Variance
- Cuestionario de práctica: Module 1 Homework
Nota atribuída: Module 1 Quiz: Introduction, Probability, Expectations, and Random Vectors
SEMANA 2
Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
This module covers Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics. These are the most fundamental core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.
7 videos, 1 teste para praticar
- Vídeo: Bayes' Rule and DLRs
- Vídeo: Likelihood
- Vídeo: Bernoulli Distribution and Binomial Trials
- Vídeo: The Normal Distribution
- Vídeo: Limits and LLN
- Vídeo: CLT and Confidence Intervals
- Cuestionario de práctica: Module 2 Homework
Nota atribuída: Module 2 Quiz: Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
SEMANA 3
Confidence Intervals, Bootstrapping, and Plotting
This module covers Confidence Intervals, Bootstrapping, and Plotting. These are core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.
7 videos, 1 teste para praticar
- Vídeo: Student's t Distribution and CI for Normal Means
- Vídeo: Profile Likelihoods
- Vídeo: T Confidence Intervals
- Vídeo: Plotting
- Vídeo: The Jackknife
- Vídeo: Bootstrapping
- Cuestionario de práctica: Module 3 Homework
Nota atribuída: Module 3 Quiz: Confidence Intervals, Bootstrapping, and Plotting
SEMANA 4
Binomial Proportions and Logs
This module covers Binomial Proportions and Logs. These are core concepts in mathematical biostatistics and statistics. After this module you should be able to recognize and be functional in these key concepts.
3 videos, 1 teste para praticar
- Vídeo: Binomial Proportions Part B
- Vídeo: Logs
- Cuestionario de práctica: Module 4 Homework
Nota atribuída: Module 4 Quiz: Binomial Proportions and Logs
Perguntas frequentes
Como funciona
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Desenvolvedores
Johns Hopkins University
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.
Classificações e avaliações
Love the course, and its willingness to delve into the basics of the theory behind biostatistics. Wish there were more like it.
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!
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.
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V
Great course, excellent homework/quizzes and comparatively rigorous treatment by a great Prof.