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Workshops & Training

Through CCSS discover valuable software, data, and computing tools for working with data! 

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Spring 2023 Workshops

Spring sessions will be hybrid: In-person and virtual through Zoom. Workshops are open to the Cornell community!

Registration is Required

In-Person Location for All Sessions: Mann Library B30B. Floor Plan: Floor B number 4

Zoom Details will be sent upon registration.

  • Finding and Analyzing Survey Data from the Roper Center Archive | Jan. 31 | 2:30-3:30 pm

    Description:

    The Roper Center's mission is to collect, preserve, and disseminate public opinion data. Through the maintenance of the world’s largest archive of survey data, Roper strives to improve the practice of survey research and the use of survey data around the world. Join to learn how to search for top-line survey results and how to download full survey datasets for use in your research.

    Tags:  Finding Data, Surveys

    Register

  • American Community Survey (ACS) Data Extraction Through Online Platforms (IPums, data.census.gov) | Jan. 31 | 4:00-5:00 pm

    Description:

    The American Community Survey (ACS) is the premier source for detailed population and housing data for the United States. ACS releases new data every year that you can access with different data tools. Attend this session for a lesson on how to pull the ACS data you want through the interactive online tools of IPums and the census website.

    Tags:  Finding data, Surveys

    Register

  • Research Opportunities at the Cornell Federal Statistical Research Data Center | Feb. 2 | 3:30 - 4:45 pm

    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.

    Tags:  Restricted Data.

    Register

  • Working with Restricted Data at Cornell | Feb. 7 | 10:30-11:30 am

    Description:

    This workshop will cover working with restricted data at Cornell University. How to setup a contract with a data provider. Where you can house your data in an environment that meets security standards. How you can use the CCSS CRADC secure servers for generating results through a variety of software applications.

    Tags: Computing. Restricted Data

    Register

  • Survey Writing | Feb. 7 | 3:00-4:00 pm

    Description:

    Discover common tips and tricks for adequately writing survey questions with removed biases. In this workshop, you will learn how to avoid common problems in survey question writing and how to set up various types of questions using Qualtrics (Likert scale, multiple choice, open-ended, etc.).

    Tags:  Surveys

    Register

  • Coding with R and Python Using Linux: Parallel Computing | Feb. 13 | 1:30-3:30 pm

    Description:

    Linux/Ubuntu is a top choice for data scientists worldwide. This free to use operating system provides high performance to a large number of users. Linux can incorporate many GPUs and software applications for high level processes on extremely large datasets.

    Tags: Computing. Programming

    Register

  • Publication Ready Tables Through Coding | Feb. 14 | 3:30-5:00 pm

    Description:

    Replication of results is a core requirement of the scientific method. This session will demonstrate generating tables through code that are publication ready. This is the best way to report results as the output is completely reproducible. This session goes over the code used in a variety of programming languages for creating tables that can be inserted directly into your publications. Familiarity in one of R, Stata, SAS is encouraged.

    Tags: Programming. Replication

    Register

  • Publication Ready Tables Through Coding Part 2: Advanced Formatting | Feb. 16 | 3:30-5:00 pm

    Description:

    Replication of results is a core requirement of the scientific method. This session will demonstrate generating tables through code that is publication ready with proper results and formatting. This is the best way to report results as the output is completely reproducible. Part 2 expands on the first part by focusing on formatting your tables to make them more neat, organized and understandable for the viewer. Familiarity in one of R, Stata, SAS is encouraged.

    Tags: Programming. Replication

    Register

  • Protect your Future Publications: Reproducibility Through Data Management Plans - Compliance and Security | Feb. 20 | 10:30 - 11:30am

    Description:

    Are you preparing to begin research for a publication? Have you already started? Data Management Plans (DMP) greatly reduce the risk of your publications being retracted, saving you and your team from unnecessary charges and labor. The National Science Foundation (NSF), Department of Agriculture, and many other funders require their funding proposals include such a plan. For example, NSF proposals should describe how the proposal will conform to NSF policies on sharing research results. Beyond funder requirements, this session discusses good practices for keeping your data safe and secure for years to come, backing up and archiving your data with clear documentation to ensure it is FAIR (findable, accessible, interoperable, reusable) and reproducible.

    Tags:  Replication

    Register

  • Research Opportunities at the Cornell Federal Statistical Research Data Center | Apr. 19 | 11:15-12:30 pm

    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.

    Tags:  Restricted Data.

    Register

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What do We Offer?

Workshops

CCSS Workshops are given by our staff consultants, Senior Data Science Fellows, and Data Science Fellows. Learn more about our instructors here


Training for Classes and Project Teams  Request Training

 

Training for Classes

We provide class training tailored to your group’s specific needs on topics related to:

  • Data processing and management
  • Use of qualitative software packages such as Atlas.ti, MaxQDA and NVivo
  • Use of statistical software packages such as SAS, SPSS, STATA, and R
  • Use of CCSS research and computing servers

 Training for Project Teams

We provide just-in-time training for project teams in:

  • Qualitative and quantitative research data management and processing
  • Targeted training for a particular phase/time in the project team's research process where extra help is needed
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