Data Science Research Resources

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Table of Contents

Welcome Statement

Hi! Welcome to research!

Of research, a wise person once wrote that, one never completes a research project in isolation of others. This bright quote signifies that finding and correctly harnessing appropriate resources for research is what makes for a successful conclusion.

Research is a systematic process of investigating a specific topic or question to gather information, analyze data, and reach conclusions. It involves forming hypotheses, collecting data, analyzing it, and sharing findings.

The Role of Resources in Research

To conduct research effectively, you need access to various resources that support your investigations. These resources provide the foundation for your work, helping you:

  • Access existing knowledge: Books, journal articles, databases, and websites offer a wealth of information on a particular topic.
  • Methodology and framework: Resources guide you on how to approach research, including best practices, data collection methods, and analytical techniques.
  • Data and evidence: Primary and secondary data are essential for supporting or challenging hypotheses.
  • Tools for analysis: Software, surveys, lab equipment, and online tools help you interpret complex information accurately and efficiently.
  • Collaboration and networking: Interacting with other researchers or joining academic communities can facilitate knowledge sharing and new inquiry directions.
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Software & Development Tools

Essential Installations

Data Science Platforms

Visualization and Business Intelligence Tools


Online Platforms and Interactive Tools

Code Execution & Development

Analysis & Sentiment Tools


Programming Resources

Python Resources

R Programming Resources


Textbooks & Learning Materials

Data Science & Statistics

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

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

  • Laurent Gatto. An Introduction to Machine Learning with R

Programming Fundamentals

Specialized Topics


Tutorials & Guides

Machine Learning Tutorials

Statistical Analysis

Git & Version Control

General Resources


Data Sources & Databases

General Data Repositories

Government & International Organizations

Health & Medical Data

Agricultural & Environmental Data

Population & Demographics

Corporate & Other Sources

Library Resources


Bioinformatics & Biomedical Resources

Sequence Analysis Tools

Genomics & Gene Analysis

Protein Analysis & Structural Biology

Medical & Disease Research

Cell & Tissue Atlases

Microbiome Analysis

  • Qiime2 - Microbiome bioinformatics platform

Educational Resources

Comprehensive Software Platforms

  • UGENE - Free open-source cross-platform bioinformatics software

Cerebral Palsy Resources


Interactive Data Visualizations

Music Visualizations

Library Collections

COVID-19 & Health

Social & Environmental Topics

Science & Technology

Transportation & Infrastructure

Creative & Entertainment

Politics & Current Events

Visualization Galleries & Resources

Articles About Data Visualization


Women in Computing

NCWIT

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Opportunities and Support

Below are resources from the National Center for Women & Information Technology (NCWIT), which offers women support, encouragement and information to help them gain experience in computing and build meaningful careers in computing technology.

The National Center for Women & Information Technology (NCWIT) is the farthest-reaching network of change leaders focused on advancing innovation by correcting underrepresentation in computing.

Aspirations Logo

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Aspirations in Computing (AiC)

Get Involved

AIC Award

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Awards & Recognition

Did you know that AIC offers awards for amazing work in computing?


Note

If you find resources that would fit nicely here, please let us know! More resources will be added as they are discovered.

Contact: obonhamcarter at allegheny dot edu