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.

January 29, 2019

This session focuses on teaching how to create, organize, and apply codes for different kinds of qualitative research projects and will introduce qualitative data analysis (QDA) software, noting be

January 28, 2019

This session provides a brief introduction to qualitative research, including an overview of the general process and review of methodologies.

February 11, 2019

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

January 28, 2019

This workshop will be open to anyone interested in having the guidance, feedback and structure for writing a grant.

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.

January 25, 2019

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience.

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