Tag Archives: visualization tools

Bootcamp: Geographic Information System (GIS) bootcamp presented by Data Driven Detroit

Time: Thursday, April 13th 2017, 11:30-1pm
Location: NQ 1255

Please join A2DataDive for the last bootcamp in 2017 winter semester. This will be a GIS Bootcamp led by experts from Data Driven Detroit – Ayana Rubio and Laura Lyons. The 1.5 hour work shop is accessible to learners with basic knowledge of data software such as Excel, and will introduce you to open data portals and GIS platform. Non-pizza Lunch will be provided!

What is GIS and why should you care?
GIS Is a computer system for capturing, storing, checking, and displaying data related to positions on earth’s surface. GIS can show many kinds of data on one map which allows researchers to analyze and understand patterns and relationships in human (voting, migration, water usage, etc.) and non-human (resource distribution, weather, seismic events, animal migration, etc.) behaviors.

Bootcamp: Information Visualization (RESCHEDULED)

Time: Friday, March 31, 12-1pm
Location: NQ 1255

Please join A2DataDive for a bootcamp on data visualization.

Data visualization offers a powerful set of tools for understanding data and communicating about it. This bootcamp will cover data visualization concepts and best practices in order to learn how best to explore and communicate complex types of data. It will introduce methods and suggest tools for working with data and creating visualizations. No prior experience is necessary.

Tableau bootcamp

Please join A2DataDive on Wednesday, November 2, 12-1pm in NQ 1255 for a bootcamp on Tableau.

Visualization with Tableau 
Wednesday, November 2, 12-1pm in NQ 1255
This bootcamp is hosted by MSI student Josh Gardner. We’ll cover the process of loading, analyzing, and visualizing data in Tableau, introducing the Tableau interface and how to connect it to data, with guidance and suggestions on preparing high-impact visualizations and dashboards with Tableau. Following this are topics that might be of special interest to Data Divers, including dealing with different data types/formats, summarizing data within Tableau, filtering, using categorical data, and replicating the same visualization/dashboard for multiple datasets. There will be sample data to get everyone started, but participants should also feel free to bring their own data and explore that if they prefer. For download instructions, visit Installing Tableau.