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Rutgers University Libraries

Graduate Specialist Program (New Brunswick Libraries): Tableau

Home page for the New Brunswick Libraries' Graduate Specialist Program

Workshop Schedule and Topics

Fall 2020 workshop information now available at:

NBL Workshop Calendar - https://libcal.rutgers.edu/nblworkshops

 

Data Science Basics: Introduction to Data Visualization with Tableau (Beginner)

Thursday | October 29, 2020 | 3:00pm ET (online)

This workshop will be a beginner level introduction to the fundamentals of Tableau for data visualization, such as creating your charts, adding calculated fields and formatting charts. We will build charts to visualize and explore heart rate failure data (or another freely available alternative).

 

Data Science Basics: Introduction to Time Series, Maps and Dashboards in Tableau (Beginner)

Thursday | November 5, 2020 | 3:00pm ET (online)

This workshop will be a beginner level introduction to joining data, building dashboards and making specialized visualizations like time series and maps in Tableau. To demonstrate time series charts we will explore climate data. To demonstrate building maps we will explore school improvement grant data. Lastly, we will build dashboards to provide a comprehensive overview.

Tools

Download Tableau Public here: https://public.tableau.com/en-us/s/

Resources

Workshop Presentations

Slides from each workshop will be posted here.

Some tutorials to assist you in using Tableau: Tableau Tutorials

Data Sources

Kaggle: Kaggle is a dataset repository, data science competition host, tutorial provider, and more. It has an active community that discusses and contributes solutions to various data science problems.

DATA.GOV: A home for U.S. government open data. Topics include climate, education, finance, and many more.

UCI Machine Learning Repository: The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. This project is in collaboration with Rexa.info at the University of Massachusetts Amherst and receives funding support from the National Science Foundation.

Quantitative Data Science Graduate Specialist

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