This three-part series will cover the following materials:
Part 1: Introduction
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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.
Workshop: Stata Fundamentals: Part 1
February 11, 2019
Author:
Isabelle Cohen
February 11, 2019
Author:
Keeley Takimoto
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter (formerly IPython) notebook. The following plot types will be covered:
Workshop: Geospatial Data in R: Part 1
February 11, 2019
Author:
Drew Hart
Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research.
Geospatial Data in R, part I: Getting started with spatial data objects
Workshop: GIS Fundamentals with QGIS: Part 2
February 8, 2019
Author:
Patty Frontiera
Part 2: Working With Projections & Spatial Queries
Workshop: Introduction to ATLAS.ti for Windows
February 7, 2019
Author:
Celia Emmelhainz
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.
Workshop: Visualization in Excel
February 7, 2019
Author:
Salma Elmallah (duplicate)
In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals.
Workshop: Python Fundamentals: Part 2
February 7, 2019
Author:
Samy Abdel-Ghaffar
Part 2 Topics:
Workshop: GIS Fundamentals with QGIS: Part 1
February 6, 2019
Author:
Patty Frontiera
Students will learn about the different ways in which entities in the real world are represented as geographic data. They will be introduced to QGIS, an open-source Geographic Information System (GIS) tool for working with geographic data.
February 6, 2019
Author:
Caroline Le Pennec-Caldichoury
This hands-on workshop presents a broad overview of the existing methods to use text as data, with a focus on applications in social sciences and humanities.
Workshop: Python Fundamentals: Part 1
February 5, 2019
Author:
Samy Abdel-Ghaffar
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 1 Topics:
Workshop: Introduction to Pandas
February 4, 2019
Author:
Keeley Takimoto
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. It enables doing practical, real world data analysis in Python.
In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.
We plan to cover:
Workshop: Basics of Excel: Part 2
January 31, 2019
Author:
Salma Elmallah (duplicate)
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. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
Workshop: Introduction to MAXQDA: Part 2
January 31, 2019
Author:
Josué Meléndez Rodríguez
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.
This session presents some of MAXQDA's more advanced functionality, such as lexical searches, coding queries, document and code browsers, and summaries.
Workshop: Introduction to MAXQDA: Part 1
January 30, 2019
Author:
Josué Meléndez Rodríguez
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
Author:
Josué Meléndez Rodríguez
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 benefits and providing an overview of the four most popular programs (ATLAS.ti, Dedoose, NVivo, and MAXQDA).
Workshop: Introduction to NIH Grants
January 28, 2019
Author:
Leora Lawton
This workshop will be open to anyone interested in having the guidance, feedback and structure for writing a grant.
January 28, 2019
Author:
Josué Meléndez Rodríguez
This session provides a brief introduction to qualitative research, including an overview of the general process and review of methodologies. Participants will also develop an understanding of coding within the context of qualitative research.The presenter will remain available after the workshop to provide consultations on a first-come, first-served basis.
Workshop: Python Fundamentals: Part 4
January 25, 2019
Author:
Drew Hart
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Workshop: Basics of Excel: Part 1
January 24, 2019
Author:
Salma Elmallah (duplicate)
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. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.
Topics Covered Will Include:
Workshop: Python Fundamentals: Part 3
January 24, 2019
Author:
Drew Hart
This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.
Part 3 Topics:
