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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., 23-Feb-20
E.g., 23-Feb-20
January 15, 2020
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 2 Topics:

January 15, 2020
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

January 14, 2020
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 1 Topics:

January 14, 2020
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!

December 18, 2019
Author:
Drew Hart

Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc. These data are a valuable resource for social scientists, planners, and engineers as well as natural scientists. This workshop will introduce basic raster concepts and methods for working with raster data in R.

December 17, 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 a research project. 

Geospatial Data in R, part 2: Geoprocessing and analysis

December 16, 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

December 16, 2019 to December 17, 2019
Author:
Scott Peterson

General Information

Library Carpentry is part of the Carpentries, and is made by people working in library- and information-related roles to help you:

December 13, 2019
Author:
Janet Torres

Part 2: Working With Projections & Spatial Queries

December 12, 2019
Author:
Véronique Irwin

This three-part series will cover the following materials:

Part 1:  Introduction

December 11, 2019
Author:
Ilya Akdemir, Geoff Bacon, Adam G. Anderson

The Computational Text Analysis Working Group (CTAWG) features demos, tutorials, and ongoing projects through which we are learning to use an array of computational text analysis approaches including: topic modeling, TF-IDF, dictionary methods, supervised machine learning, cosine similarity scores, words-to-vectors, grammar parsing, regular expressions, and more.

Workshop: ArcGIS Online
December 11, 2019
Author:
Janet Torres

This workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 1 will provde a hands-on overview of uploading data to AGOL, creating web maps, and symbolizing mapped data by attribute values.

December 11, 2019
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

December 10, 2019
Author:
Afrah Tahir, Lina Kamil

The Somali, Ethiopian, Eritrean, South Sudanese, Sudanese Student Association (SEE§A) (formerly as Horn of Africa Student Association) is a student-based organization that focuses on the further academic, professional, social, and cultural advancement of Somali, Ethiopian, Eritrean, South Sudan and Sudanese identifying students on the University of California, Berkeley campus.

December 10, 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.

December 10, 2019
Author:
Janet Torres

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.

December 10, 2019
Author:
Hero Ashman

This three-part series will cover the following materials:

Part 1:  Introduction

December 9, 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. 

December 9, 2019
Author:
Evan Muzzall

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, and superlearner algorithms.

December 6, 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. 

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