Getting Started with R for Data Science [Video] This is the code repository for Getting Started with R for Data Science [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish. About the Video Course The R language is a powerful open source functional programming language. R is becoming the go-to tool for data scientists and analysts. Its growing popularity is due to its open source nature and extensive development community. This course will take you on a journey to become an efficient data science practitioner as you thoroughly understand the key concepts of R. Starting from the absolute basics, you will quickly be introduced to programming in R. You will see how to load data into R for analysis, and get a good understanding of how to write R scripts. We will delve into data types in R, and you'll gain the ability to read and write data to and from databases as well as files. You will also get to know how to perform basic analysis of the data. By the end of the course, you will know how data science can be applied in practical conditions.. What You Will Learn
- Write R code that can be executed outside RStudio
- Get data from numerous sources such as files, databases, and even Twitter
- Clean data before the analysis phase begins
- Load libraries into RStudio for use within the analysis phase
- Perform data cleaning on a dataset
- Create a codebook so that the data can be presented in a summary
- Understand how to use visualization to understand data and tell a story
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