Previously…
The guiding principle of elementary statistics is statistical thinking.
Statistical Thinking in the Data Science Life Cycle
MTH-161D | Spring 2025 | University of Portland
January 17, 2025
The guiding principle of elementary statistics is statistical thinking.
Statistical Thinking in the Data Science Life Cycle
Open-source and Free: Accessible to everyone.
Designed for Statistics: Built with statistical analysis in mind.
Extensive Libraries: Thousands of packages available.
Data Visualization: Easy and powerful plotting capabilities.
Active Community: Help is just a forum post away.
Integrated Development Environment (IDE): Built specifically for R.
Cross-Platform: Available on Windows, macOS, and Linux.
User-Friendly: Simplifies coding, debugging, and visualizations.
Enhanced Productivity: Tools for managing projects, data, and outputs.
Basic Parts of R Studio
Cloud-Based Platform: Accessible from any device with an internet connection.
Developed by Posit (formerly RStudio): Tailored for statistics and data science.
No Installation Needed: Run R and RStudio directly in your browser.
Convenience: No installation required; access RStudio instantly through the internet.
Consistency: Same environment across devices.
Collaboration: Share projects with students and instructors easily.
Cost-Effective: Free tier available with premium options for advanced features.
Posit Cloud Computing
Basic Parts of Posit Cloud
Sign-up for a free Posit Cloud account using your UP email. Then, log-in.
Enter your email again using this form - Email Entry for Activity: Setting up Posit Cloud so I can add you to the course’s workspace. You will be invited to this course’s Workspace soon. Check your email.
Enter the Workspace using the link in the email sent from Posit Cloud, then click on the assignment named Calculator Alex Q. This will create a copy for you.
Rename your copied assignment as Calculator [First name] [First letter of last name].
For now you can explore Posit Cloud. We will discuss more about this tool as we progress.