## Introduction

### What am I going to learn?

• What’s the most effective way of collecting and analyzing data,
• Will cover key principles of statistical data analysis,
• Will get acquainted with key principles of working with R

### What will I need for the course?

• Downloading and installing R
• Downloading and installing R-Studio
• (Optional) Downloading and installing text editor (Notepad++, Emacs, Aquamacs)

First you should download R from the nearest R repository. Just navigate to this link and select appropriate installation file for your operating system. Installation is standard and you’ll only need to click on “next” button.

Next you download and install R-Studio from this link. Select appropriate package, download it and install by clicking couple of times on “next” button.

Installing a text editor is optional - if you find it easier typing on a large screen instead of R-Studio’s interface, you may want to use text editor. Select the editor you like the most from the table below, download and install it.

OS Text editor
Windows (XP, 7, Vista, 8.n, 10) Notepad++, Emacs
(MAC) OS X Aquamacs, Emacs
Linux Emacs

### Other important notes regarding the class

• Please bring your laptop to the class. Unfortunately, our classroom in the first building of TSU doesn’t have a lab, therefore we are going to turn it into one. Please let me know if you have a problem in this regard - I’ll try my best to accommodate your needs.
• We will use a web-based version of R+Rstudio - RStudio Cloud. Sign up to the website and add yourself to our class workplace via this link

#### Your instructor can be reached via email:

david.sichinava@tsu.ge

#### Attendance

Attendance sheet can be viewed here

#### A bonus cartoon

I’d kindly ask you to bear with my obsession with memes and cartoons