Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
Este curso faz parte do Programa de cursos integrados Advanced Statistics for Data Science
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Programa de cursos integrados Advanced Statistics for Data ScienceUniversidade Johns HopkinsInformações sobre o curso
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Aprox. 12 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
Habilidades que você terá
- Statistics
- Statistical Hypothesis Testing
- Biostatistics
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Aprox. 12 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
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.
Programa - O que você aprenderá com este curso
3 horas para concluir
Hypothesis Testing
In this module, you'll get an introduction to hypothesis testing, a core concept in statistics. We'll cover hypothesis testing for basic one and two group settings as well as power. After you've watched the videos and tried the homework, take a stab at the quiz.
3 horas para concluir
12 vídeos (Total 121 mín.), 1 leitura, 2 testes
2 horas para concluir
Two Binomials
In this module we'll be covering some methods for looking at two binomials. This includes the odds ratio, relative risk and risk difference. We'll discussing mostly confidence intervals in this module and will develop the delta method, the tool used to create these confidence intervals. After you've watched the videos and tried the homework, take a crack at the quiz!
2 horas para concluir
8 vídeos (Total 75 mín.)
3 horas para concluir
Discrete Data Settings
In this module, we'll discuss testing in discrete data settings. This includes the famous Fisher's exact test, as well as the many forms of tests for contingency table data. You'll learn the famous observed minus expected squared over the expected formula, that is broadly applicable.
3 horas para concluir
7 vídeos (Total 98 mín.)
4 horas para concluir
Techniques
This module is a bit of a hodge podge of important techniques. It includes methods for discrete matched pairs data as well as some classical non-parametric methods.
4 horas para concluir
16 vídeos (Total 153 mín.)
Avaliações
- 5 stars56,36%
- 4 stars27,27%
- 3 stars12,72%
- 2 stars0,90%
- 1 star2,72%
Principais avaliações do BIOESTATÍSTICA MATEMÁTICA: TREINAMENTO 2
por CO15 de ago de 2019
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
por AC27 de jul de 2018
Please, make a reboot of this course with some improvements in the material.
More examples
More solved exercises.
More homework.
por LE30 de set de 2018
Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.
por LC12 de mar de 2022
The course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.
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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