Computing for Data Analysis | Computing for data analysis on coursera | Scoop.it

Roger D. Peng

Johns Hopkins Bloomberg School of Public Health

 

Start: 24 September 2012 (4 weeks)
Workload: 3-5 hours per week
Statistics, Data Analysis, and Scientific Computing

 

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

 

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, creating R packages with documentation, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.