Data powers countless industries ranging from marketing to finance. In our data analysis courses in New York City, you won’t just get Excel, data visualization, and SQL training. You’ll also adopt essential mindsets and techniques to effectively solve problems using data.

 

Talk to an Advisor

Want to Know More?

Get matched with the GA course that’s right for you. Share your contact information, and our Admissions team will reach out soon to discuss your goals.

First and Last name
Phone Number - Optional
Can spam opt-in checkbox
Make Better Decisions: Learn Data Analysis in New York City

Part-Time Courses


Enhance your professional potential. Learn in-demand skills in evening, weekend, or 1-week accelerated courses.


Meet Our Instructors

Michael Larner

Why should someone learn essential data analytics skills at GA?


Michael Larner, a Data Analytics instructor at General Assembly Los Angeles, says, "GA provides an amazing worldwide community of colleagues, peers, and fellow learners that serve as a wonderful resource as you continue to build your career. GA does an excellent job exposing students to real-world analyses that provide them with opportunities to gain practical experience. We focus on practical skills that you can use from day one — NOT on theory that leaves you wondering how to actually apply your new skills."

Learn In-Demand Skills in Our Data Analysis Courses and Bootcamps in New York City

D3 Visualizations

D3 — which stands for “Data-Driven Documents” — is a JavaScript library that helps you bring data to life. By knowing how to use D3 visualizations, you can manipulate documents using data to create dynamic infographics, powerful charts, and informative graphs.

Dashboard

Dashboards organize and display live visual updates of metrics and key performance indicators (KPIs), giving businesses valuable insights in real time. By knowing how to create dashboards, you can bring informative, immediate, and impactful visuals to any data-driven organization.

Ridgeline Plots

Josh Yazman, Data Analytics instructor at GA Washington, D.C., says, “Ridgeline plots, which are essentially a series of density plots (or smoothed-out histograms), can help balance the need to communicate risk without overemphasizing error in situations where error bars only slightly overlap.Instead of showing an error bar, which is the same size from top to bottom, a ridgeline plot gets fatter to represent more likely values and thinner to represent less likely values. This way, a small amount of overlap doesn’t signal lack of statistical significance quite as loudly. Decision-makers need to understand this error to make the most of survey results, so it's important for data scientists and analysts to communicate confidence intervals when visualizing estimated results.

“In General Assembly’s full-time, career-changing Data Science Immersive program and part-time Data Science course, students learn about sampling, calculating confidence intervals, and using data visualizations to help make actionable decisions with data. Students can also learn about the programming language R and other key data skills through expert-led workshops and exclusive industry events across GA’s campuses.”

Read “A Beginner’s Guide to Ridgeline Plots” by Josh Yazman.

SQL

Michael Larner, a Data Analytics instructor at General Assembly Los Angeles, says, "Put simply, SQL is the language of data — it’s a programming language that enables us to efficiently create, alter, request, and aggregate data from those mysterious things called databases. It gives us the ability to make connections between different pieces of information, even when we’re dealing with huge data sets. Modern applications are able to use SQL to deliver really valuable pieces of information that would otherwise be difficult for humans to keep track of independently. In fact, pretty much every app that stores any sort of information uses a database. This ubiquity means that developers use SQL to log, record, alter, and present data within the application, while analysts use SQL to interrogate that same data set in order to find deeper insights.

"At General Assembly, we know businesses are striving to transform their data from raw facts into actionable insights. To accomplish this, we give students the opportunity to use SQL to explore real-world data such as Firefox usage statistics, Iowa liquor sales, or Zillow’s real estate prices. Our full-time Data Science Immersive and part-time Data Analytics courses help students build the analytical skills needed to turn the results of those queries into clear and effective business recommendations. On a more introductory level, after just a couple of hours of in one of our SQL workshops, students are able to query multiple data sets with millions of rows."

Read “A Beginner’s Guide to SQL" by Michael Larner.

Tableau

Learn to tell compelling stories through data with Tableau. The industry-leading software lets you analyze data sets and communicate impactful insights to any audience — from peers to stakeholders — using interactive visualizations and real-time dashboards.

Break into New York City's data analysis industry.

Enrich your career with in-demand data analysis skills. Choose to learn in our intensive 1-week format, or level up in 10 weeks.