February 8, 2019

Part 2: Working With Projections & Spatial Queries

February 6, 2019

Students will learn about the different ways in which entities in the real world are represented as geographic data.

February 7, 2019

This workshop will focus on organizing, coding, and analyzing qualitative data using ATLAS.ti, a qualitative data analysis (QDA) software program for which D-Lab provides support.

January 31, 2019

This is a two-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support.

January 30, 2019

This is a two-part series for qualitative researchers interested in learning about MAXQDA, a qualitative data analysis (QDA) software program for which D-Lab provides substantive support.

February 11, 2019

For this workshop, we'll provide an introduction to visualization with Python.

February 4, 2019

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive.

February 7, 2019

In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization.

January 31, 2019

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak.

January 24, 2019

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak.

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