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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., 16-Nov-18
E.g., 16-Nov-18
September 17, 2018
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:

September 13, 2018
Author:
Beki McElvain

Part 1: Introduction to QGIS

September 13, 2018
Author:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

September 12, 2018
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

September 11, 2018
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 a research project. 

Geospatial Data in R, part 2: Geoprocessing and analysis

September 11, 2018
Author:
Josué Meléndez Rodríguez

This writing group is for graduate students who are working on projects that incorporate both qualitative data analysis (QDA) software (e.g., MAXQDA, Dedoose, NVivo, and ATLAS.ti) and development of a deliverable, such as a publishable paper, qualifying paper, thesis or dissertation.

September 10, 2018
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:

September 6, 2018
Author:
Josué Meléndez Rodríguez

This session first provides a brief introduction to qualitative research, including differences (and similarities) between quantitative and qualitative research, overview of the general process, and review of methodologies.

September 6, 2018
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 at the free D-Lab R workshops!

September 5, 2018
Author:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

September 4, 2018
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

August 31, 2018
Author:
Isabelle Cohen

LaTeX is a widely used document creation software which can help you improve the presentation of homework, papers, academic articles and even presentations.

August 30, 2018
Author:
Isabelle Cohen

LaTeX is a widely used document creation software which can help you improve the presentation of homework, papers, academic articles and even presentations.

August 30, 2018
Author:
Kimberly Rubens

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.

August 29, 2018
Author:
Kimberly Rubens

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:

August 29, 2018
August 27, 2018
Author:
Lindsay Bayham

This workshop has been cancelled due to instructor illness. This workshop will be rescheduled at a later date. Please keep an eye on the D-Lab newsletter and the QMG email list for the new date/time. Please accept our sincere apologies for any inconvenience this causes.This workshop will focus on organizing, coding, and analyzing qualitative data using Dedoose.

August 27, 2018
Author:
Kimberly Rubens

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: R Bootcamp 2018
August 18, 2018 to August 19, 2018
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

August 17, 2018
Author:
Claudia von Vacano, Josué Meléndez Rodríguez

This is a five-part series for qualitative researchers, new and experienced, who are interested in using qualitative data analysis (QDA) software to facilitate their studies. This workshop will focus on teaching MAXQDA, a QDA software for which D-Lab offers substantive support.

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