June 18, 2019

Workshops for Analysts

Workshops for analysts will equip any level of staff with the vocabulary and tools needed to do their jobs with more efficiency and confidence. Our workshop attendees will build the skills needed to perform effective analyses, will learn the fine art of storytelling with data, and will learn tips and tricks to creating more democratized data.

Some of our more popular workshops include:

Introduction to Data Analytics

A full-day course introducing key concepts in data analysis, including problem ideation, process mapping, and communicating data. Leveraging design thinking and collaboration, we model a culture of data-driven problem exploration and understanding.

Excel for Data Analysis I + II

This pair of workshops will address one of the greatest challenges analysts 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, participants will be taught some of the most effective techniques in summarizing and displaying data to extract actionable intelligence quickly and accurately. Workshops can be taken individually or back-to-back.

Introduction to Statistical Analysis in Excel

A practical, no nonsense, one-day course covering the basics of descriptive statistics with open data, including basic statistical measures such as mean, median, standard deviation, and variance. The course also covers correlation, linear regression, and introduces decision modeling using open data. This course introduces participants to the use of statistics for understanding and communicating 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.

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.