Getting started with Python and R for Data Science

In this video tutorial, we will take you through some common Python and R packages used for machine learning and data analysis, and go through a simple linear regression model. Also, we will help you set up Python and R on your Windows/Mac/Linux machine, run your code locally and push your code to a Github repository.

Table of Contents:
– Installing Python on Windows: 1:09
– Installing R on Windows: 4:16

– Installing Python on Mac: 5:39
– Installing R on Mac: 8:10

– Installing Python on Linux: 8:41
– Installing R on Linux: 9:48

– Simple linear regression model in Python: 11:59
– Simple linear regression model in R: 21:01

– Pushing code to Github Repository: 25:26

Repository:
All commands, scripts, and data

Downloads:
· Python Programming Language
· get-pip.py Script
· R Programming Language
· RStudio
· Git for Windows

Text Editor:
Notepad ++
or
Sublime Text

More Data Science Material:
[Video Series] Beginning R Programming
[Video Series] Introduction to Data Mining
[Video] Time Series in Python Part1: Read and Transform your Data
[Blog] R Programming: An Introduction

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Rebecca Merrett
About The Author
- Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney and a post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications.

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