Research Guides: Data Services Class Descriptions: Data Services Classes

Geographic Information Systems (GIS) Classes

NYU Data Services provides a number of introductory classes, tutorials, and training resources for learning GIS, conducting spatial analysis, geocoding, and finding spatial data through the Spatial Data Repository. To request a specialized or customized tutorial or class session, please fill out our request form. In addition, Data Services also provides a full range of online GIS training offered by ESRI for students, faculty and staff interested in exploring GIS technology, concepts, and applications.

GIS/Mapping Tools and Services
Learn the definition of GIS, different GIS applications available at NYU, and GIS data sources
Introduction to ArcGIS (ArcMap)
Become familiar with ESRI's desktop software and basic GIS concepts
Introduction to StoryMaps (ArcGIS Online)
Develop proficiency with ESRI Online products and create narrative StoryMaps
Introduction to ArcGIS Pro
Differentiate between ArcGIS Pro and the older ArcMap software, visualize spatial data in a thematic map, and export data
Introduction to QGIS
Discover open-source desktop software (QGIS) for analysis and visualization
Raster Analysis in QGIS
Use pixel-value raster data to frame and explore socio-demographic questions in QGIS, an open-source GIS software
Data Cleaning for GIS
Develop essential strategies for cleaning data in preparation for visualization and analysis with GIS software
Geospatial Analysis in R
Discover basic strategies and tools in R and R Studio to load, clean, and join vector spatial data

Quantitative/Statistical Classes

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

Qualitative Classes

Digital Tools for Qualitative Data Analysis
A side-by-side overview of software platforms for qualitative data analysis
Introduction to Atlas.ti
Start a QDA project from uploading text, classify and code transcripts, and produce analyses
Introduction to MaxQDA
Begin QDA analysis and learn strategies for coding and mixed-methods analysis with MaxQDA
MAXQDA for Mixed Methods
Use MAXQDA to develop codes and prepare data for analysis in a quantitative software platform.
Introduction to Taguette
Launch qualitative research on an operating system-agnostic, free platform
Network Diagrams in Gephi
An introductory workshop that uses Gephi software to visualize network patterns with text-based research
Text as Data in the Humanities
Gather text corpora, clean data, and understand computational software tools for humanities-based analysis
Social Media Scraping for Qualitative Research
Learn small-scale web scraping of social media for qualitative analysis by using Ncapture and NVivo

Data Visualization Classes

Data Visualization with Tableau
An introduction of basic principles of data visualization with Tableau
Customizing Tableau Data Visualizations
An expansion of introductory Tableau principles that covers advanced techniques
Data Visualization Clinic
A discussion-based session to learn about best practices, tips, and inspirations for creating versatile visualizations

Data Management Classes

Python for Harvesting Data on the Web
Obtain data and load it into a suitable "container" for analysis, often via an API, parse API-generated data and manipulate it
Data Cleaning and Management Using Python
Parse data in Python, store it in helpful formats, perform transformations typical for mixed string-and-numeric formats
Data Cleaning Using Open Refine
Learn an open-source tool for fast clean up of tabular data in preparation for analysis
Managing a Personal Research Archive
A workshop designed to help researchers manage their digital research files
Introduction to Git and GitHub
Explore concepts of distributed version control and learn basic Git concepts and GitHub workflows
Research Management Using the Open Science Framework
Managing, annotating, organizing, archiving, and publishing research data using the Open Science Framework
Writing a Data Management Plan for Grant Applications
Learn essential elements of writing a successful data management plan for federal funding agencies such as the NEH, NSF, NIH, NASA, and others
Extracting Text Using Optical Character Recognition (OCR)
Extract and organize textual and tabular data using the OCR softwares Tesseract and ABBYY FineReader
Reproducible Workflows in R
Discover Packrat, R Markdown, and the integration of git with R to enable reproducible research workflows
Introduction to Jupyter Notebooks
An introduction to managing and publishing research projects using Jupyter Notebooks
Getting Started with Python Pandas
Integrate Pandas, a powerful Python library, into your Jupyter Notebook workflow for analysis and visualization

Survey Design Classes

Survey Design with Qualtrics
An introduction to creation, collection, distribution, and analysis of online surveys using Qualtrics
Advanced Survey Design with Qualtrics
Implement sophisticated survey logic, embed data, and construct loops to take full advantage of Qualtrics

Classes in Data Finding

NYU Data Services provides a number of introductory classes and training resources for understanding the principles of data discovery. To request a specialized or customized class session, please fill out our request form.

Principles of Finding Data
An interactive workshop that encourages inductive reasoning to find data sources
Understanding Social Sciences Methods
An overview to the social research methods that are important to discovering and analyzing data in the social sciences
Accessing U.S. Census Data
Strategies and resources for finding U.S. Census data and related data products at NYU and beyond

High Performance Computing (HPC) Classes

Introduction to HPC
Introduction to High Performance Computing at NYU
Advanced HPC
Using High Performance Computing efficiently
Introduction to Unix/Linux and the shell
A hands-on introduction to using the Linux command line interface
Machine Learning with Spark
A hands-on session on how to use Apache Spark and step-by-step instructions on how to run Spark jobs
Using Containers on HPC
This tutorial provides a basic understanding of using containers on the HPC system through singularity.
Globus and Data Transfers
This tutorial provides a basic understanding of importing and exporting data on the HPC using tools such as Globus and scp.
Using Slurm on Greene cluster
Discover the Slurm Workload Manager on NYU HPC cluster Greene
Singularity on Greene
A basic introduction to using Singularity, a software container platform, for research, reproducibility, and analysis in Python environments on Greene

Data Services Class Descriptions

Service Desk and Chat