Training Materials for Classes

Below are the links to materials for our in-person courses in open data, data analytics, and information visualization. We're still working to bring our high-quality teaching materials to the web so check back for content as it becomes available.

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Data Analysis with Python

A full-day course covering the key concepts of how to leverage the Python programming language for data analysis. The course will cover the basic syntax of Python as it relates to performing basic exploratory data analysis, as well as how to create impactful charts, graphs, and other information visualizations using NYC Open Data for operational decision making.

Data Analysis with R

A full-day course covering the key concepts of how to leverage the R programming language for data analysis. The course will cover the basic syntax of R as it relates to performing basic exploratory data analysis, as well as how to create impactful charts, graphs, and other information visualizations using NYC Open Data for operational decision making.

Data Analytics for Managers

This course introduces participants, especially managers and executives, to the concept of data-driven decision-making and management. Participants will learn how to better use data for setting goals and defining objectives, while identifying the proper metrics for those objectives and the elements of meaningful management dashboards. Participants will also learn how to assess the right analytical tools to manage projects, processes, and analytic staff within their departments.

Data Visualization with Excel

A full-day course covering the key concepts of how to create truthful and visually-compelling visualizations of important data. The course will cover how to create impactful charts, graphs, and other information visualizations in order to effectively communicate critical analysis to decision-makers, policymakers, and other key stakeholders.

Excel Tools: Summarizing Data

This course will address one of the greatest challenges managers face today: making sense of the data they already have. Being able to quickly and efficiently summarize and analyze data is essential to making better business decisions. Using Excel 2010, participants will be taught some of the most effective techniques in summarizing and displaying data to extract actionable intelligence quickly and accurately.

Intermediate GIS with QGIS and PostGIS

A full-day course for up to 20 employees familiar with how to load and visualize spatial data in QGIS or another GIS applications. The course will cover how to load, process, and analyze real-world data using an open source spatial relational databases with QGIS to answer interesting and important analytical questions.

Introduction to GIS Fundamentals

A full-day course in basic spatial concepts and key features of QGIS for loading, styling, and analyzing spatial data with an emphasis on using real-world data to answer interesting and important analytical and operational questions. No experience with spatial data or GIS applications is assumed.

Introduction to Statistical Analysis

This course introduces participants to the use of statistics for understanding and communicating city data. Using Excel, participants will learn how to use measures like mean, median, mode, standard deviation, and variance interval to understand the content of city data for making operational decisions. Participants will also learn how to display statistical information in meaningful ways.

Python for Census Data Analysis

An introduction to the use of Python to query Census data through the API in order to faciliate easier access and use of Census data for analysis