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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.

E.g., 21-Sep-19
E.g., 21-Sep-19
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

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.

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:

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:

January 31, 2019
Author:
Salma Elmallah

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:

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.

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).

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.

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.

January 24, 2019
Author:
Salma Elmallah

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:

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:

January 23, 2019
Author:
Evan Muzzall

Part 2 Topics:

January 22, 2019
Author:
Evan Muzzall

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: R Bootcamp
January 19, 2019 to January 20, 2019
Author:
Christopher Paciorek, Evan Muzzall

The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include

January 18, 2019
Author:
Evan Muzzall

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

 

January 17, 2019
Author:
Evan Muzzall

R Fundamentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

January 15, 2019
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

January 14, 2019
Author:
Evan Muzzall

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!

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