Hardware
For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:

• 1 gigahertz (GHz) 64-bit (x64) processor.
• 8 gigabytes (GB) of Random Access Memory (RAM).
• 32 GB available storage space.
• Monitor capable of a screen resolution of at least 1,024 × 768 pixels, at least a 256-color display, and a video adapter with at least 4 MB of memory.
• Bootable DVD-ROM or USB drive.
• Keyboard and mouse or a compatible pointing device.
• Fast Ethernet (100 Mb/s) adapter or faster and cabling to connect to the classroom network.
• IP addresses that do not conflict with other portions of your network.
• Internet access (contact your local network administrator).
• (Instructor computer only) A display system to project the instructor's computer screen.

Software
Each computer requires the following software:

• Microsoft® Windows® 10 64-bit.
• R version 4.3.2 (R-4.3.2-win.exe).
  • R is distributed with the course data files under version 2 of the GNU General Public License (GPL).
• RStudio® Desktop version 2023.12.0-369 (RStudio-2023.12.0-369).
  • RStudio is distributed with the course data files under version 3 of the Affero General Public License (AGPL).
• If necessary, software for viewing the course slides. (Instructor machine only.)

Dataset
This course uses a modified version of a third-party dataset to demonstrate data science concepts. The dataset was retrieved from: https://www.kaggle.com/aungpyaeap/supermarket-sales.