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

Module 3 Overview (1:07)

video-placeholder

Loading...

基因组数据科学所需的统计学

约翰霍普金斯大学

4.2（317 个评分）

|

29K 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.

查看授课大纲

您将学习的技能

Statistics, Data Analysis, R Programming, Biostatistics

审阅

4.2（317 个评分）

5 stars
54.88%
4 stars
26.81%
3 stars
11.04%
2 stars
2.52%
1 star
4.73%

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

以免费的价格试听课程

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。