Past Workshops

Python Data Wrangling and Manipulation with Pandas

February 15, 2022
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...Read more about Python Data Wrangling and Manipulation with Pandas

Python Fundamentals: Parts 1-2 (4pm-7pm)

February 14, 2022
Evening workshop 4-7pm. This two-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...Read more about Python Fundamentals: Parts 1-2 (4pm-7pm)

R Visualization

February 10, 2022
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry...Read more about R Visualization

Introduction to Bash + Git

February 10, 2022
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...Read more about Introduction to Bash + Git

Python Introduction to Machine Learning: Parts 1-2

February 7, 2022
This two-part 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...Read more about Python Introduction to Machine Learning: Parts 1-2

Geospatial Fundamentals with QGIS: Parts 1-2

February 1, 2022
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic...Read more about Geospatial Fundamentals with QGIS: Parts 1-2

Python Fundamentals: Parts 1-4

February 1, 2022
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...Read more about Python Fundamentals: Parts 1-4

R Data Wrangling and Manipulation: Parts 1-2

February 1, 2022
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...Read more about R Data Wrangling and Manipulation: Parts 1-2

R Fundamentals: Parts 1-4

January 31, 2022
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,...Read more about R Fundamentals: Parts 1-4

Stata Fundamentals: Parts 1-3

January 12, 2022
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...Read more about Stata Fundamentals: Parts 1-3

Python Fundamentals: Parts 1-4

January 11, 2022
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...Read more about Python Fundamentals: Parts 1-4

R Fundamentals: Parts 1-4

January 11, 2022
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,...Read more about R Fundamentals: Parts 1-4

Python Introduction to Machine Learning: Parts 1-2

December 7, 2021
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...Read more about Python Introduction to Machine Learning: Parts 1-2

R Fundamentals: Parts 1-4

December 6, 2021
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,...Read more about R Fundamentals: Parts 1-4

Python Fundamentals: Parts 1-4

December 6, 2021
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...Read more about Python Fundamentals: Parts 1-4

Stata Fundamentals: Parts 1-3

December 6, 2021
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...Read more about Stata Fundamentals: Parts 1-3

Qualtrics Fundamentals

December 3, 2021
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,...Read more about Qualtrics Fundamentals

R Geospatial Fundamentals: Raster Data

December 3, 2021
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for...Read more about R Geospatial Fundamentals: Raster Data

R Data Visualization with ggplot

November 19, 2021
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry...Read more about R Data Visualization with ggplot

Introduction to Bash + Git

November 19, 2021
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...Read more about Introduction to Bash + Git

R Census Data Wrangling and Mapping

November 18, 2021
Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists. Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers. This workshop will introduce three...Read more about R Census Data Wrangling and Mapping

R Introduction to Deep Learning: Parts 1-2

November 17, 2021
This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms...Read more about R Introduction to Deep Learning: Parts 1-2

Python Introduction to Artificial Neural Networks

November 17, 2021
This workshop presents a brief history of Artificial Neural Networks (ANNs) and an explanation of the intuition behind them; a step-by-step reconstruction of a very basic ANN, and then how to use the scikit-learn library to implement an ANN for solving a classification problem.Read more about Python Introduction to Artificial Neural Networks

R Introduction to Machine Learning with tidymodels: Parts 1-2

November 16, 2021
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data. During this two part workshop, we...Read more about R Introduction to Machine Learning with tidymodels: Parts 1-2

Python Visualization

November 16, 2021
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.Read more about Python Visualization