Python

Python Fundamentals: Parts 4-6

January 27, 2025, 2:00pm
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 manipulation to a real-world social science application.

Python Fundamentals: Parts 1-3

January 13, 2025, 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.

More D-Lab events and workshops coming soon!

May 30, 2025, 9:00am

More workshops coming soon...

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Cloud SQL Databases for Social Media Data

December 10, 2024, 10:00am
This is a hands-on workshop on analyzing Social Media Data using Cloud Databases, specifically Google Cloud Platform's BigQuery. In this session, you'll learn how to leverage existing Reddit and other publicly available datasets in the cloud, import additional data, and perform meaningful analyses relevant to social science research.

Aaron Culich

Availability: By appointment only

Consulting Areas: Python, R, SQL, AI & LLMs, APIs, Cloud & HPC Computing, Informatics, Data Wrangling, Databases & SQL, Bash or Command Line, Git or Github, Web Scraping

SQL Database Fundamentals for Data Analysis

December 9, 2024, 10:00am
This workshop introduces the fundamentals of SQL, with a focus on using SQLite (the most ubiquitous database on the planet) for data science tasks. We'll explore how SQL can be used to query and manipulate relational databases. This hands-on workshop includes exercises based on real-world datasets.

Python Data Processing Basics for Acoustic Analysis

November 12, 2024
Amber Galvano
by Amber Galvano. Interested in learning how to merge data and metadata from multiple sources into a consolidated dataset? Dealing with annotated audio and want to automate your workflow? Tried Praat scripting but want something more streamlined? This blog post will walk through some key domain-specific Python-based tools you will need in order to take your audio data, annotations, and speaker metadata and come away with a tabular dataset containing acoustic measures, ready to visualize and submit to statistical analysis. This tutorial uses acoustic phonetics data, but can be adapted to a range of projects involving repeated measures data and/or work with audio files.

Python Fundamentals: Parts 1-3

December 9, 2024, 2:00pm
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.

Python Machine Learning Fundamentals: Parts 1-2

November 19, 2024, 1:00pm
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.

Python Data Visualization: Parts 1-2

November 13, 2024, 9:00am
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.