R Programming

Start Date: 07/05/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/r-programming

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About Course

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 and describe 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, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Course Syllabus

This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.

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Course Introduction

R Programming and Advanced Topics in R R Programming is the study of programming in the R programming language. This course focuses on the R language, which is the standard language used for running interactive data science projects. After completing this course, you will be able to understand and program R packages. You will also be familiar with basic R concepts and language basics. This course is the second in a sequence. Beginning in the first course, which focused on data validation, we will move to higher level of R programming. We will introduce higher level R constructs, such as Racket, RethinkDB, and Roxygen. We will then discuss higher level R options, such as the R package development lifecycle and packages, which are the core of all R packages. We hope you enjoy the course!What is R? Data Types, Racket, and Verilab Racket for Scheme Higher Level R: Verilab and Packages R Interface and Capstone Project In the Capstone project, you will design a program that satisfies the requirements for an R interface, including libraries and utilities. You will use the R Interface to create a working interface between your program and the R language. You will implement a simple program (a library) and a purer interface (a utility). The interface program will then be shared by many other programs and used by other people. You will earn a

Course Tag

Data Analysis Debugging R Programming Rstudio

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