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
- Practice Quiz: 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
- Practice Quiz: 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
- Practice Quiz: 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
- Practice Quiz: Module 4 Homework
Nota atribuída: Module 4 Quiz: Binomial Proportions and Logs
Perguntas frequentes
Como funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
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
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.
A whirlwind tour of statistics. Questions are very tough. You have to rack your brains hard, to solve them. But well worth the effort.
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.
O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.
© 2018 Coursera Inc. Todos os direitos reservados.
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.