Past Workshops

Finding Health Statistics and Data

October 3, 2023
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...Read more about Finding Health Statistics and Data

Python Geospatial Data and Mapping: Parts 1-2

October 3, 2023
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.Read more about Python Geospatial Data and Mapping: Parts 1-2

Python Machine Learning Fundamentals: Parts 1-2

October 2, 2023
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 Machine Learning Fundamentals: Parts 1-2

MaxQDA: Introduction

September 28, 2023
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...Read more about MaxQDA: Introduction

Python Text Analysis Fundamentals: Parts 1-2

September 25, 2023
This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.Read more about Python Text Analysis Fundamentals: Parts 1-2

R Data Wrangling and Manipulation: Parts 1-2

September 25, 2023
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

Python Data Wrangling and Manipulation with Pandas

September 20, 2023
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

Bash + Git: Introduction

September 13, 2023
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 Bash + Git: Introduction

Python Fundamentals: Parts 1-3

September 11, 2023
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...Read more about Python Fundamentals: Parts 1-3

R Fundamentals: Parts 1-4

September 11, 2023
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

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

September 7, 2023
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.Read more about Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

Python Data Visualization Pilot: Parts 1-2

September 6, 2023
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 Data Visualization Pilot: Parts 1-2

Python Intermediate: Parts 1-3

September 5, 2023
This three-part interactive workshop series teaches you intermediate programming Python for people with previous programming experience equivalent to our Python Fundamentals workshop. 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 Intermediate: Parts 1-3

Excel Data Analysis: Introduction

September 5, 2023
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.Read more about Excel Data Analysis: Introduction

Python Data Wrangling and Manipulation with Pandas

August 17, 2023
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 1-3

August 14, 2023
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...Read more about Python Fundamentals: Parts 1-3

Stata Fundamentals: Parts 1-3

August 14, 2023
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

R Fundamentals: Parts 1-4

August 14, 2023
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 Data Wrangling and Manipulation with Pandas

May 4, 2023
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 Pilot: Parts 1-3

May 1, 2023
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...Read more about Python Fundamentals Pilot: Parts 1-3

R Data Wrangling and Manipulation: Parts 1-2

May 1, 2023
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

May 1, 2023
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

Infosession: D-Lab Data Science Fellowship (2023-2024)

April 20, 2023
The D-Lab is seeking applications for the 2023-2024 cohort of Data Science Fellows. This infosession will give you an in-depth look at the D-Lab Data Science Fellowship and an opportunity for you to ask questions about the program that may be helpful to your application process to become a Fellow!Read more about Infosession: D-Lab Data Science Fellowship (2023-2024)

R Deep Learning: Parts 1-2

April 19, 2023
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 Deep Learning: Parts 1-2

Python Deep Learning: Parts 1-2

April 11, 2023
The goal of this workshop is to build intuition for deep learning by building, training, and testing models in Python. Rather than a theory-centered approach, we will evaluate deep learning models through empirical results.Read more about Python Deep Learning: Parts 1-2