Programming Languages

R Fundamentals: Parts 1-4

October 24, 2023, 9:00am
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Qualtrics Fundamentals

November 4, 2021, 2:30pm
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 research, pre/post-event feedback, and other uses with some creativity.

R Data Wrangling and Manipulation: Parts 1-2

February 9, 2023, 10:00am
It is said that 80% of data analysis is spent on the process of cleaning and preparing the data for exploration, visualization, and analysis. 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.

Bash + Git: Introduction

June 27, 2022, 1:00pm
This workshop will start by introducing you to navigating your computer’s file system and basic Bash commands to remove the fear of working with the command line and to give you the confidence to use it to increase your productivity. And then working with Git, a powerful tool for keeping track of changes you make to the files in a project.

Python Fundamentals: Parts 1-3

January 8, 2024, 9:00am
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.

Introduction to Bash + Git

November 19, 2021, 10:00am
This workshop will start by introducing you to navigating your computer’s file system and basic Bash commands to remove the fear of working with the command line and to give you the confidence to use it to increase your productivity. And then working with Git, a powerful tool for keeping track of changes you make to the files in a project.

Python Machine Learning Fundamentals: Parts 1-2

April 5, 2023, 10:00am
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Git for Research Transparency and Reproducibility Training (RT2)

June 6, 2024, 3:15pm
This is a custom Git workshop for the 2024 Research Transparency and Reproducibility Training (RT2).

Stata for Research Transparency and Reproducibility Training (RT2)

June 7, 2024, 3:15pm
This is a custom Stata workshop for the 2024 Research Transparency and Reproducibility Training (RT2).

Processing Videos in Python with OpenCV

November 28, 2023
Leah Lee
by Leah Lee. Videos and images are quickly becoming the most common type of data we store and interact with. Computer vision technologies derive useful information from these forms of data and are now commonly used in health care, agriculture, transportation, and security. OpenCV is a powerful tool for image processing and computer vision tasks. In this blog post, we will explore how we can use OpenCV in Python to carry out basic computer vision tasks. Specifically, we’ll focus on the simple task of identifying an object from a video and labeling a frame with a box around the object.