DataLab Event Archive

Reproducible Research for Teams with GitHub

Learn how to work collaboratively on your data-driven projects using GitHub.

R Basics: Introduction to Programming for Researchers (4-part series) Part 4 of 4

Gain exposure to programming in this 4-part introductory workshop on using R for reproducible data analysis

R Basics: Introduction to Programming for Researchers (4-part series) Part 3 of 4

Gain exposure to programming in this 4-part introductory workshop on using R for reproducible data analysis

R Basics: Introduction to Programming for Researchers (4-part series) Part 2 of 4

Gain exposure to programming in this 4-part introductory workshop on using R for reproducible data analysis

R Basics: Introduction to Programming for Researchers (4-part series) Part 1 of 4

Gain exposure to programming in this 4-part introductory workshop on using R for reproducible data analysis
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Data Challenges as Opportunities for Experiential learning: Reflection on DataLab’s CA Election 2020 Data Challenge

As a case study to explore how intentionally organized data challenges can serve as opportunities for
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Data Feminism Symposium

The UC Davis DataLab is hosting a symposium dedicated to asking: "Data science for whom? Data

ReadME, Write Me!

This workshop covers best practices for organizing and documenting your digital projects for robust, reproducible research.

Introduction to Version Control with Git

This workshop covers the fundamentals of using version control for reproducible research.

Introduction to Basic Statistics in R (Part 2)

This workshop explores basic, practical applied statistics using the R statistical programming language.