mcnamarachiwaye / datacamp_-_track_-_data_scientist_with_r_-_course_01_-_introduction_to_r

Repository of DataCamp's "Introduction to R" course.

DataCamp - Introduction to R

Course Description

In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40% and an increasing number of organizations are using it in their day-to-day activities. Leverage the power of R by completing this free R online course today!

Chapters

1. Intro to basics
2. Vectors
3. Matrices
4. Factors
5. Data frames
6. Lists

Prerequisites

R - R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
RStudio - RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace.

Built with

R Markdown - R Markdown is a lightweight markup language with plain text formatting syntax. It is designed so that it can be converted to HTML and many other formats.

Authors

• Luka Ignjatović - GitHub

Acknowledgments

• The course is taught by Jonathan Cornelissen.
• All the initial code from this course is the property of respective authors and DataCamp.

License

This project is licensed under the MIT License - see the LICENSE file for details.