Competency: Research

R Fundamentals: Part 1 of 4

This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization. Registration required.

Stata Fundamentals: Part 1 of 3

This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics…

Excel Data Analysis: Introduction

This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis: Introduction. Prerequisites: We recommend first taking the introductory workshop Excel Data Analysis. Register here.

Python Fundamentals: Part 1 of 6

This workshop provides an introduction to visualization with Python. We will cover visualization principles and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook and documentation of each plotting package. We’ll also learn about styles and customizing plots. Throughout the workshop, we’ll discuss the plot types best…

R Data Wrangling and Manipulation: Part 1 of 2

This R workshop will introduce the dplyr and tidyr packages to make data wrangling and manipulation easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful tasks. Registration required.

Coding and Data Management Workshop Series: OpenRefine

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers. Learn about OpenRefine in this workshop. Registration is Required.

Coding and Data Management Workshop Series: Intro to R

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers. This workshop series will give an instruction on the introduction to R. Registration Required.

Coding and Data Management Workshop Series: Intro to R

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers. This workshop series will give an instruction on the introduction to R. Registration Required.

R Fundamentals: Part 1 of 4

This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization. After completing…

Coding and Data Management Workshop Series: Intro to Python

Instructors: Scott Peterson (UCB), Reid Otsuji (UCSD), Tim Dennis (UCLA), Kim Thomas (UCSD), Kaija Gahm (UCLA), Jose Niño Muriel (UCSB), Geoffrey Boushey (UCSF), David Palmquist (CSU Fullerton), Ken Howard (UCSB) REGISTRATION REQUIRED.

Python Fundamentals: Part 1 of 3

This three-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.

Nature Masterclass Information Session

Nature Masterclasses are practical, interactive professional development workshops and courses. The curriculum is designed to provide researchers with strategies to develop their skills, confidence, and careers. Courses include science writing and publishing, focus on peer review, and effective collaboration in research. Register.

Introduction to LaTeX with Overleaf

This online (via Zoom) workshop will focus on basic LaTeX syntax: learning commands, uploading figures, notating mathematical formulas and equations, and generating bibliographies. The workshop will be taught using Overleaf, a collaborative, subscription-based tool licensed by the library. This is an interactive online workshop that is best attended using a laptop or desktop instead…

Coding and Data Management Workshop Series: Version Control with Git

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers. Registration Required.

Introduction to Zotero Session 3

Spend an hour and learn to use this robust citation manager with Firefox and Chrome.  The workshop covers importing citations, exporting bibliographies into Word and Google Docs, and sharing resources among groups. Registration Required.

Introduction to Zotero Session 2

Spend an hour and learn to use this robust citation manager with Firefox and Chrome.  The workshop covers importing citations, exporting bibliographies into Word and Google Docs, and sharing resources among groups. Registration Required.

Introduction to Zotero Session 1

Spend an hour and learn to use this robust citation manager with Firefox and Chrome.  The workshop covers importing citations, exporting bibliographies into Word and Google Docs, and sharing resources among groups. Registration Required.

Coding and Data Management Workshop Series: The Unix Shell

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers. Registration Required.

Python Data Wrangling and Manipulation with Pandas

Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with ‘relational’ or ‘labeled’ data both easy and intuitive. It enables doing practical, real world data analysis in Python. In this workshop, we’ll work with example data and go through the various steps…