Competency: Research

Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities. Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market…

In this workshop, we cover how to scrape data from the web using Python. Web scraping involves downloading a webpage's source code and sifting through the material to extract desired data.

This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents.

This course will walk you through the process of getting IRB approval for your project. After this course, you will approach getting your project approved with confidence that will save you time and avoid potential delays.

UC Libraries and their partners are collaborating on another UC-wide “Love Data Week” from February 12-16, 2024. This will be a jam-packed week of talks, presentations, and workshops all about data! All members of the UC community are invited to attend these events to gain hands-on experience, learn about resources, and engage in…

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health…

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and…

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and…

This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and…

In this workshop, we provide practical guidance on data wrangling using R’s tidyverse suite of packages. In Part 2, we cover how to wrangle messy data into tidy data. After this workshop, you will be able to: Use tidyverse functions for transforming your data to be used for…

In this workshop, we provide practical guidance on data wrangling using R’s tidyverse suite of packages. In Part 2, we cover how to wrangle messy data into tidy data. After this workshop, you will be able to: Use tidyverse functions for transforming your data to be used for…

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…

Covidence, a web-based tool licensed by the UC Berkeley Library, helps with your systematic and other literature reviews, which are popular processes to summarize and synthesize literature in your topic of interest. Covidence helps you organize and track progress on your review, from search results to extraction. In Covidence, you…

In this workshop, we cover how to extract data from the web with APIs using Python. APIs are often official services offered by companies and other entities, which allow you to directly query their servers in order to retrieve their data. Platforms like The New York Times, Twitter and…

Kicking off our series of workshops on DataHub, the first part will concentrate on introducing the essential elements and capabilities of DataHub, its possibilities, and how instructors from different departmental units across the campus are actively integrating notebooks in Python, R, and Julia as part of their pedagogy. For the…

This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic…

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. Workshop Materials: https://github.com/dlab-berkeley/Excel-Fundamentals Software Requirements: …

This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more. The workshop includes a lecture-style walkthrough of each concept,…

The ability to successfully apply for extramural funding is a critical skill for academic investigators, including graduate students, postdoctoral scientists, and other junior investigators. Grantsmanship involves much more than simply writing the application. Investigators must identify funding agencies that align with their research interests and understand the goals…

Join CRB Nexus: Where Policy Meets Research for a live virtual discussion featuring Gina Garcia, Jon Gould, and Nicholas Vargas, as they discuss Higher Education policy and practice on Friday, January 26, from 11:00 AM to 12:30 PM! The CRB Nexus is a community of California researchers, practitioners, policymakers,…