Information, materials, and schedules for all currently offered Data Services classes.

- Data Services ClassesToggle Dropdown
- GISToggle Dropdown
- Quantitative/Statistical
- What Statistical Software to Use?
- Introduction to SPSS
- Data Wrangling in SPSS
- Introduction to Stata
- Data Wrangling in Stata
- Introduction to SAS
- Introduction to R
- Data Wrangling in R
- Creating Graphics in R
- Introduction to MATLAB
- MATLAB: Beyond Basics
- Introduction to JMP
- Introduction to Python
- Intermediate Python

- QualitativeToggle Dropdown
- Digital Tools for Qualitative Data Analysis
- Introduction to ATLAS.ti
- Introduction to MAXQDA
- MAXQDA for Mixed Methods
- Introduction to Taguette
- Network Diagrams in Gephi
- Text as Data in the Humanities
- Social Media Scraping for Qualitative Research
- Starting with Computational Text Analysis
- Teamwork in MaxQDA and Atlas.ti

- Data VisualizationToggle Dropdown
- Data ManagementToggle Dropdown
- Python for Harvesting Data on the Web
- Data Cleaning and Management Using Python
- Data Cleaning Using OpenRefine
- Managing a Personal Research Archive
- Introduction to Git and GitHub
- Research Management Using the Open Science Framework
- Writing a Data Management Plan for Grant Applications
- Extracting Text Using Optical Character Recognition (OCR)
- Reproducible Workflows in R
- Introduction to Jupyter Notebooks
- Getting Started with Python Pandas
- Preparing Research Software For Publication
- Open Source Licensing for Research Software
- Data Enrichment with APIs and OpenRefine
- JupyterHub for Instructors

- SurveyToggle Dropdown
- Finding DataToggle Dropdown
- High Performance ComputingToggle Dropdown
- ClassroomsToggle Dropdown
- Preparing for Remote Tutorials

For assistance, reach out by chat below or **submit a request**

We can be reached by email at **data.services@nyu.edu**

Join our **Discord server**

If you've met with us before, **tell us how we're doing**

**Bobst Library, 5th floor**

**Staffed Hours: Fall 2023**

`Mondays: 12pm - 5pm
Tuesdays: 12pm - 5pm
Wednesdays: 12pm - 5pm
Thursdays: 12pm - 5pm
Fridays: 12pm - 5pm`

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- What Statistical Software to Use?A side-by-side overview of quantitative statistical software packages
- Introduction to SPSSAn introduction that covers importing, creating and editing data sets in SPSS
- Data Wrangling in SPSSMerging, reshaping, and aggregating datasets used in preparing data for analysis
- Introduction to StataImporting, creating and editing data sets and other basics in Stata
- Data Wrangling in StataManipulating and restructuring data in one or more related data sets and working with loops
- Introduction to SASImporting, creating and editing data sets, and an overview of common statistical procedures
- Introduction to RWorking with data sets in R, visualizing them, and implementing common statistical procedures
- Data Wrangling in RCleaning and managing data in R, and working with strings, dates, and writing functions
- Creating Graphics in RMaking charts with base R functions and using the popular ggplot2 package
- Introduction to MATLABAn introduction to the MATLAB interface, language, and environment
- MATLAB: Beyond BasicsA class for experienced MATLAB users that introduces more efficient and optimized coding strategies
- Introduction to JMPCreate and edit data sets and learn to compute and recode variables in JMP
- Introduction to PythonA hands-on workshop focused on getting started with writing Python code in order to web-scrape data

- Last Updated: Dec 7, 2023 5:20 PM
- URL: https://guides.nyu.edu/ds_class_descriptions
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