Data Science Resources

Welcome to a resources page for Data Science research. Here you will find a list of links for data, tools, tutorials and related resources that may be very helpful to your work.

• Textbooks

  • Wickham, Hadley, and Garrett Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data., O’Reilly Media, Inc., 2016.

    • Book Website
    • Latest version of the book

  • Julia Silge And David Robinson. Text Mining With R: A Tidy Approach., O’Reilly Media, Inc., 2019.

    • Book Website

  • Think Python, first edition, by Allen B. Downey.

    • Publisher Website

  • Circular Visualization in R by Zuguang Gu

    • Book Website

  • An Introduction to Machine Learning with R by Laurent Gatto

    • Book Website

• Software

  • Installations

    • RStudio
    • R Programming Language
    • Python Programming Language
    • Git for Mac
    • Git for Windows
    • Git for all platforms

  • Online Tools

    • Deepnote
    • sentiment viz Tweet Sentiment Visualization
    • Online R programming
    • Snippets – Run any R code you line online
    • JDoodle

• Python Programming Resources

  • Play with code from W3’s super Python Tutorial
  • Write code locally using Jupyter Interactive Python.
  • Think Python, a textbook, by Allen B. Downey. Publisher Website
  • The Python Programming Language

• Articles for Learning

  • Getting started with Markdown
  • Industrial Careers in the Age of Machine Learning

• Tutorials

  • Statmethods R programming Tutorial by Datacamp
  • Data Science Dojo
  • Machine Learning in R for beginners (Interactiving coding!)
  • Your First Machine Learning Project in R Step-By-Step
  • Machine learning with the “diabetes” data set in R
  • Intro to Machine Learning with R & caret
  • Jupyter Notebooks Gallery
  • ANOVA in R | A Complete Step-by-Step Guide with Examples
  • The Paired t-Test
  • An Introduction to t-Tests | Definitions, Formula and Examples
  • Colors for Plotting in R
  • Stat545: a reference for R and programming in Analytics
  • Allegheny College Department of Computer Science tutorials
  • Coding Train’s Git and GitHub for Poets
  • Setting Up Git on Linux
  • Setting up Git
  • Getting Started with Python in VS Code
  • 11 Best VS Code extensions for Python (2022)
  • ssh keys
  • Luman’s ssh keys video tutorial
  • Machine Learning in R for beginners

• Providers of Data for projects

  • awesome-public-datasets
  • Finviz
  • COVID-19 Forecasts
  • An interactive visualization of the exponential spread of COVID-19
  • Project Tycho
  • Pelletier Library at Allegheny College (online services)
  • World Health Organization
  • The World Bank
  • Noncommunicable Disease Surveillance, Monitoring and Reporting (NCDS)
  • Demographic and Health Surveys
  • Harvest Choice
  • Food and Agricultural Organization
  • World Population Prospects
  • Centres for Disease Control and Prevention (CDC)
  • US Food and Drug Administration Home Page
  • The US Census
  • Institute for Health Metrics and Evaluation
  • IBM’s collection of opensource data sets
  • Google’s opensource data sets
  • Data.world: data for business-based questions
  • Kaggle
  • ipums
  • Kaggle’s Star Trek Scripts (Could be a cool idea!)
  • Project Gutenberg: Free eBooks
  • … And many others that you may conveniently find using online searches.