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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., 13-Dec-19
E.g., 13-Dec-19
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. 

December 5, 2019
Author:
Gloria Ashaolu

The Black Recruitment and Retention Center is a student initiated, AND entirely a student ran organization that was founded in 1983 as direct response to the removal of Black students from affirmative action policies and programs, including admissions consideration, early academic outreach programs, and retention services. 

 

December 5, 2019
Author:
Aubrey Ross

The Berkeley Undergraduate Digital Humanities Association (BUDHA) is a diverse community of students, faculty, and staff on the UC Berkeley campus that connects undergraduates with the emerging interdisciplinary field of Digital Humanities (DH).

December 5, 2019
Author:
Drew Hart

Part 1 Topics:

  • Running Python
  • Jupyter notebooks
  • Variables assignment
  • Types conversion
  • Strings
  • Built-ins

Knowledge requirements: Programming Fundamentals or equivalent prior knowledge

December 3, 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 2, 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.

November 26, 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.

November 25, 2019
Author:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

Working Group Session: Securing Research Data Working Group
November 25, 2019
Author:
Aaron Culich, Rick Jaffe

The goal of this working group is to understand issues around sensitive/restricted use research data from a variety of views - especially from the perspective of Berkeley researchers who need and use such data and the staff and units who support that.

November 25, 2019
Author:
Sergio Castellanos Rodriguez

Data Analysis for a Sustainable Energy Transition: A focus on Equity 

Join us with D-Lab Fellow, Sergio Castellanos, as he shares about his research! 

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