lukaignjatovic / datacamp_-_track_-_data_scientist_with_r_-_course_02_-_intermediate_r

Repository of DataCamp's "Intermediate R" course.

DataCamp - Intermediate R

Course Description

The intermediate R course is the logical next stop on your journey in the R programming language. In this R training you will learn about conditional statements, loops and functions to power your own R scripts. Next, you can make your R code more efficient and readable using the apply functions. Finally, the utilities chapter gets you up to speed with regular expressions in the R programming language, data structure manipulations and times and dates. This R tutorial will allow you to learn R and take the next step in advancing your overall knowledge and capabilities while programming in R.

Chapters

1. Conditionals and control flow
2. Loops
3. Functions
4. The apply family
5. Utilities

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 Filip Schouwenaars.
• 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.