Elevate your computing and data-related skills through workshop sessions on data processing, replication, and qualitative analysis.
Fall 2025 workshop sessions will cover topics such as data processing and qualitative analysis.
CCSS workshops are held in person at 291 Clark Hall and via Zoom (sent after registering). All workshops are open to the Cornell community. We encourage attending in person for the best learning experience. In-person attendees are provided CCSS swag and a post-workshop Q&A session. Get Directions to 291 Clark Hall.
View Spring 2025 workshop recordings here.
Message socialsciences@cornell.edu for workshop-related questions.
Extracting SEC Filings with Python APIs | Sept 18 | 12:00pm - 1:15pm
Description:
Publicly traded companies are required to file reports with the U.S. Securities and Exchange Commission (SEC) to offer transparency into their operations and financial health. In this hands-on workshop, you’ll use Python to extract real company data through the SEC’s EDGAR Application Programming Interface (API). No prior experience with EDGAR or APIs is required -- just a basic familiarity with Python.
Learning Objectives:
- Request the SEC API key and implement with Python.
- Extract desired sections from an SEC filing, including:
- 10-K annual report (income statement, balance sheet, cash flow statement)
- 10-Q quarterly report (income statement, balance sheet, clash flow statement)
- 8-K (event-driven updates for stakeholders, like mergers, earnings releases, asset acquisitions, etc.)
- Apply filters to refine search results by company name, date of filing, etc.
- Organize results into a dataset.
Pre requisites:
- Python Basics
- Request API key. This will give you 100 free calls to the SEC filing database
Helpful Information:
- What is an SEC filing? And what it contains
- Manually Search for Edgar filings
- Python sec-api package information
This workshop will have a 15-30 minute Q&A session afterwards where in-person attendees can ask the instructor questions and get personalized assistance with their research.
Instructor: Jacob Grippin
Creating Reports in RMarkdown and Quarto | Sept 23 | 12:00pm - 1:15pm
Description:
RMarkdown and Quarto are RStudio extensions that allow users to create dynamic and reproducible data analysis reports. Using RMarkdown and Quarto, you can organize your code, document your data analysis, visualize your data, write text, and publish reports, all within the same workspace. By eliminating the need to copy and paste code, data visualizations, and summary tables from multiple sources, RMarkdown and Quarto increase the likelihood of an error-free report. We recommend attendees arrive with R (windows, mac) and RStudio installed on their laptops. Prior R experience is not required.
Learning Objectives:
- Create a report in RMarkdown and Quarto that combines code, text, data visualizations, and summary tables
- Format reports to include titles, headers, bulleted lists, and italicized and bolded text
- Export reports as HTML, PDF, and Word documents
- Distinguish between RMarkdown and Quarto and discuss the benefits to each
- Explore the R shiny app’s interactive online dashboard that displays real-time results, tables, and figures.
Pre requisites:
- Install R (windows, mac)
- Install RStudio
Helpful Information:
This workshop will have a 15-30 minute Q&A session afterwards where in-person attendees can ask the instructor questions and get personalized assistance with their research.
Instructor: Jacob Grippin
Web Scraping LinkedIn Data with Python | Sept 25 | 12:00pm - 12:50pm
Description:
LinkedIn is a social media platform for professional networking and career development. In this hands-on workshop, you’ll use Python’s Selenium package to scrape data from LinkedIn company pages. You’ll then organize these results into a clean dataset ready for analysis. No prior experience with web scraping is required – just basic Python knowledge.
Learning Objectives:
- Use Python’s Selenium package to extract information like company size, headquarters location, founding year, etc.
- Organize web scraping results into a dataset.
This workshop will have a 15-30 minute Q&A session afterwards where in-person attendees can ask the instructor questions and get personalized assistance with their research.
Instructor: Jacob Grippin
Research Opportunities at the Cornell FSRDC | Oct 23 | 11:40am - 12:55pm
Description:
The Cornell Federal Statistical Research Data Center (FSRDC) provides access to confidential federal data from several agencies, including the U.S. Census Bureau. The Cornell FSRDC administrator, Nichole Szembrot, will give an overview of the available data and proposal process. This workshop is recommended for faculty and Ph.D. students.
Learning Objectives:
- Understand the advantages of working with confidential data compared to public-use data
- Become familiar with the data available through the Cornell FSRDC
- Understand the process of applying for access to confidential data
Pre requisites:
None
Helpful Information
This workshop will have a 15-30 minute Q&A session afterwards where in-person attendees can ask the instructor questions and get personalized assistance with their research.
Instructor: Nichole Szembrot
Coding and Summarizing Qualitative Data with MaxQDA | Sept 9 | 12:00pm - 1:30pm
Description:
MaxQDA is a popular qualitative analysis software. This workshop covers importing qualitative data files into MaxQDA and using the software to identify themes and trends within text. It will also take participants through the steps of using MaxQDA’s AI features to summarize and explore their qualitative data materials. We recommend attendees arrive with MaxQDA installed on their laptops.
Learning Objectives:
- Explore the MaxQDA interface.
- Import qualitative files including interview transcripts, focus groups, and video and audio recordings into MaxQDA.
- Create and apply codes in MaxQDA to identify themes and trends.
- Generate reports for specific coded segments.
- Use MaxQDA’s AI Assist to summarize coded segments and documents, identify themes, and utilize suggested codes.
- Properly save and back up MaxQDA projects.
Pre requisites:
Make sure you have access to MaxQDA on your computer:
Install MaxQDA through the 14 day free trial before the start of the workshop to follow along and use during the session.
MaxQDA and other similar software are available for free through CCSS Cloud Computing Accounts. For extended software use, please request a CCSS Cloud Computing account by filling out this form.
Helpful Information:
This workshop will have a 15-30 minute Q&A session afterwards where in-person attendees can ask the instructor questions and get personalized assistance with their research.
Instructor: Florio Arguillas