https://github.com/tirendazacademy/data-science-with-r

Data Science | Machine Learning | Data Analysis
https://github.com/tirendazacademy/data-science-with-r

data-analysis data-science data-visualization database machine-learning machine-learning-algorithms r r-data-visualization r-ggplot2 r-machine-learning-turorials r-markdown r-programming r-studio rmarkdown tutorial

Last synced: 9 days ago
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Data Science | Machine Learning | Data Analysis

• Host: GitHub
• URL: https://github.com/tirendazacademy/data-science-with-r
• Owner: TirendazAcademy
• Created: 2021-02-16T08:22:56.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-01-19T08:12:41.000Z (over 2 years ago)
• Last Synced: 2025-03-29T07:41:44.301Z (about 1 month ago)
• Topics: data-analysis, data-science, data-visualization, database, machine-learning, machine-learning-algorithms, r, r-data-visualization, r-ggplot2, r-machine-learning-turorials, r-markdown, r-programming, r-studio, rmarkdown, tutorial
• Language: R
• Homepage: https://www.udemy.com/user/tirendaz-akademi-2/
• Size: 52.4 MB
• Stars: 8
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
![](https://github.com/TirendazAcademy/DATA-SCIENCE-WITH-R/blob/main/Images/R-data-science.png)

[![](https://img.shields.io/badge/R-Programming-00092C?&style=plastic&logo=r&logoColor=white)]()

[![](https://img.shields.io/badge/GGPLOT-darkorange?&style=plastic&logo=ggplot&logoColor=white)]()

[![](https://img.shields.io/badge/DataScience-470D21?&style=plastic&logo=DataScience&logoColor=white)]()

[![](https://img.shields.io/badge/MachineLearning-darkgreen?&style=plastic&logo=MachineLearning&logoColor=white)]()

## Introduction to R

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. 

## The R environment

R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes

- an effective data handling and storage facility,

- a suite of operators for calculations on arrays, in particular matrices,

- a large, coherent, integrated collection of intermediate tools for data analysis,

- graphical facilities for data analysis and display either on-screen or on hardcopy, and

- a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

## What is this repo?

This repo contains R notebooks and datasets for data science tutorials in [our Udemy course](https://www.udemy.com/course/r-programlama-ile-veri-bilimi/).

📌 If you enjoy this repo, don't forget to give me a ✨. Thanks for reading 😀

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