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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., 20-Oct-18
E.g., 20-Oct-18
October 1, 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.

October 1, 2018
Author:
Salma Elmallah

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.

September 27, 2018
Author:
David Harding

Join David Harding, Professor of Sociology and Faculty Director of D-Lab at UC Berkeley, for a discussion on how to more successfully apply for qualitative research grants from funders with positivist inclinations.

September 27, 2018
Author:
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.

September 26, 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 25, 2018
Author:
Stacy Reardon

How do you go about publishing a digital book, a multimedia project, a digital exhibit, or another kind of digital project? In this workshop, we'll take a look at use cases for common open-source web platforms like WordPress, Drupal, Omeka, and Scalar, and we'll talk about hosting, storage, and asset management. There will be time for hands-on work in the platform most suited to your needs.

September 24, 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 3 Topics:

September 24, 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 20, 2018
Author:
Josué Meléndez Rodríguez

This session focuses on teaching how to create, organize, and apply codes for different kinds of qualitative research projects. Participants will have an opportunity to apply their learning using their own data sets, or a sample data set, and to get feedback from facilitators and other participants.

September 20, 2018
Author:
Beki McElvain

Part 2: Working With Projections & Spatial Queries

September 20, 2018
Author:
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.

September 19, 2018
Author:
Caroline Le Pennec

This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques.  These include: a) digitization (utf 8), b) removal of stopwords, numbers, punctuation, c) tokenization, d) calculation of word frequencies / proportions, e) part of speech tagging, and f) concordan

September 19, 2018
Author:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction

September 17, 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 2 Topics:

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.

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