R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research.
What You Will Learn:
• How to acquire and install R
• Hot to import and export data and scripts
• How to analyze data and generate graphics
• How to program in R to write custom functions
• Hot to use R for interactive statistical explorations
• How to conduct bootstrapping and other advanced techniques
R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research.
What You Will Learn:
• How to acquire and install R
• Hot to import and export data and scripts
• How to analyze data and generate graphics
• How to program in R to write custom functions
• Hot to use R for interactive statistical explorations
• How to conduct bootstrapping and other advanced techniques