Computing for Data Analysis

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Free Online Course: Computing for Data Analysis provided by Coursera is a comprehensive online course, which lasts for 4 weeks long, 3-5 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Computing for Data Analysis is taught by Roger D. Peng.

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

Syllabus
  • A student who has completed this course is able to:

    • Read formatted data into R
    • Subset, remove missing values from, and clean tabular data
    • Write custom functions in R to implement new functionality and making use of control structures such as loops and conditionals
    • Use the R code debugger to identify problems in R functions
    • Make a scatterplot/boxplot/histogram/image plot and modify a plot with custom annotations
    • Define a new data class in R and write methods for that class

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