Tools and Tutorials
Whether you came here with your own data or discovered a dataset among our data resources, this curated list of tools and tutorials can help you make the most of your data. A subset of useful information about each resource is included on this page, but more information (including links how to gain access to it) can be found by clicking on the resource's name.
| Title | Type | Description | Programming Languages |
|---|---|---|---|
| Anaconda | Tool |
A Python distribution that includes many popular Python packages, including many focused on data analysis and visualization |
Python |
| Awesome | List |
Curated list of resources, data, and information for computer science, programming, and analysis |
Python, R, Julia |
| Awesome Big Data | List |
List of resources for big data research |
Python |
| Bokeh | Tool |
Python library for interactive plotting and visualization |
R, Python |
| catlearn | Repository |
Catlearn is a framework and archive for distributed collaboration in formal modeling in psychology. It provides an archival record of:
|
R, C++ |
| Data Science Services Workshop: Introduction To Programming In R | Tutorial |
Intermediate-level tutorial for R for writing functions and interacting with web/HTML information. Part of a Data Science Services workshop series by Harvard’s Institute for Quantitative Social... more |
R |
| Data Science Services Workshop: Introduction To R | Tutorial |
Beginner tutorial for R. Part of a Data Science Services workshop series by Harvard’s Institute for Quantitative Social Science. |
R |
| Data Science Services Workshop: Introduction to R Graphics with ggplot2 | Tutorial |
Tutorial for using ggplot2, an R library for visualization and plotting. Part of a Data Science Services workshop series by Harvard’s Institute for Quantitative Social Science. |
R |
| Data Science Services Workshop: Mining Twitter Data For Research | Tutorial |
Tutorial for using Twitter for social science research. Part of a Data Science Services workshop series by Harvard’s Institute for Quantitative Social Science. |
Python |
| Data Science Services Workshop: Regression Models in R | Tutorial |
Tutorial for implementing regression models in R. (Note: This is not a statistics tutorial.) Part of a Data Science Services workshop series by Harvard’s Institute for Quantitative Social Science... more |
R |