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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., 15-Jul-18
E.g., 15-Jul-18
February 20, 2018
Coordinator:
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!

February 16, 2018
Coordinator:
Patty Frontiera

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

February 15, 2018
Coordinator:
David Harding

Join Prof. David Harding, from UC Berkeley's Sociology Department, to learn about his engagement with qualitative research. Prof. Harding will present on some of his work and then engage in a in-depth Q&A with attendees. All with an interest in qualitative research, regardless of previous education and experience, are welcome.

February 14, 2018
Coordinator:
Evan Muzzall

R FUN!damentals Part 4: For-loops and Functions

Students will learn how to write for-loops and functions in R. You will learn how to personalize functions via control structures such as ‘if’ and ‘else’. These learning objectives will be exemplified through introduction to the construction and graphical representation of Monte Carlo resampling simulation.

February 14, 2018
Coordinator:
Susan Powell

This workshop will cover two core methods for mapping tabular geospatial data: table joins and spatial joins. Table joins allow you to link the content in two tables together based on a key field, while spatial joins allow you to connect layer features based on their spatial location. We will be using QGIS to explore these two tools.

February 14, 2018
Coordinator:
Soumya Gupta

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 2 Topics:

February 13, 2018
Coordinator:
Stacy Reardon

The Text Encoding Initiative (TEI) offers a standard way of describing texts to make them machine readable. A flavor of XML, TEI has been used in many humanities and social sciences disciplines, and it has a dedicated vocabulary for describing literary texts. TEI may be used to create digital editions, prepare texts for research, and preserve texts in a digital format.

February 12, 2018
Coordinator:
Evan Muzzall

R FUN!damentals 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.

February 9, 2018
Coordinator:
Patty Frontiera

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

February 7, 2018
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

February 7, 2018
Coordinator:
Soumya Gupta

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 6, 2018
Coordinator:
Janet Torres

In this workshop we will be using QGIS to visualize census data. We will cover some of the principles of visualizing geographic data, how to calculate rates in QGIS and how to aggregate data. 

Technology Requirement: Bring a laptop with QGIS installed.

February 5, 2018
Coordinator:
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!

February 5, 2018
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

February 1, 2018
Coordinator:
Josué Meléndez Rodríguez

This workshop offers a very basic introduction to qualitative research. First, an overview of the qualitative research process will be presented. Then, attendees will briefly explore (a) philosophical considerations regarding research, (b) qualitative methodologies and methods, and (c) ways in which technology can aid the qualitative research process.

February 1, 2018
Coordinator:
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:

January 30, 2018
Coordinator:
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:

January 30, 2018
Coordinator:
Janet Torres

This workshop will introduce participants to geospatial data concepts, formats and tools. We will provide an overview of the different types of geospatial data and how to find freely available open source data online. We will load and explore sample data set in QGIS, a widely used free and open source GIS software application.

January 29, 2018
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

January 24, 2018
Coordinator:
Susan Powell

This workshop will introduce participants to geospatial data concepts, formats and tools. We will provide an overview of the different types of geospatial data and how to find freely available open source data online. We will load and explore sample data set in QGIS, a widely used free and open source GIS software application.

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