Module 3 Overview (1:07) - Module 3 | Coursera

Module 3 Overview (1:07)

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基因组数据科学所需的统计学

约翰霍普金斯大学

4.2（299 个评分）

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28K 名学生已注册

课程 6（共 6 门，基因组数据科学专项课程）

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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您将学习的技能

Statistics, Data Analysis, R Programming, Biostatistics

审阅

4.2（299 个评分）

5 stars
54.18%
4 stars
27.42%
3 stars
10.70%
2 stars
2.67%
1 star
5.01%

CJ

Jul 15, 2019

It is really great that told me lots of basic statistical information that I didn't know.

TK

Mar 24, 2019

Very good course and useful understanding statistical aspects of data.

从本节课中

Module 3

This week we will cover modeling non-continuous outcomes (like binary or count data), hypothesis testing, and multiple hypothesis testing.

Module 3 Overview (1:07)1:07

Logistic Regression (7:03)7:03

Regression for Counts (5:02)5:02

GLMs in R (9:28)9:28

Inference (4:18)4:18

Null and Alternative Hypotheses (4:45)4:45

Calculating Statistics (5:11)5:11

Comparing Models (7:08)7:08

Calculating Statistics in R9:46

Permutation (3:26)3:26

Permutation in R (3:33)3:33

P-values (6:04)6:01

Multiple Testing (8:25)8:25

P-values and Multiple Testing in R: Part A (5:58)5:58

P-values and Multiple Testing in R: Part B (4:23)4:23

教学方

Jeff Leek, PhD
Associate Professor, Biostatistics

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