Online
Use data-driven insights to drive smart decision-making and strategization
Data now shapes almost every business decision that matters, but the real advantage belongs to the people who know how to visualize data, ask better questions, and turn insight into action. NYU SPS’ Certificate in Data Analytics is built for this moment, when AI is transforming how organizations work with big data and redefining what strong data analysis skills look like. Today’s tools can surface patterns faster than ever, but they still need skilled humans to guide them, professionals who understand data science, apply judgment, and translate outputs into business strategies. That’s why data analysts and business intelligence analysts are more essential than ever.
Designed by industry experts, this certificate goes far beyond basic understanding, helping you build advanced data analytics skills through convenient online courses, without committing to a full degree program. You’ll move beyond dashboards to master data visualization, statistical analysis, data cleaning, data modeling, data storytelling, and business intelligence, learning how to clearly communicate advanced analytics into stories and solutions with real-world applications. Whether you’re advancing in your current role or pivoting into analytics, this program delivers the tools and credibility to make data work for you.
View the program outline here.
Program Prerequisite:
Individuals starting the program should have the following core competencies in Microsoft Excel:
- PivotTables
- Creating basic charts
- Filtering and sorting data
- Formulas such as SUM, SUMIF, COUNT, COUNTIF, IF, and VLOOKUP
For more information about the Certificate in Data Analytics program, please reach out to sps.data.analytics@nyu.edu
Format
Requirements
5 courses
Estimated Total Certificate Cost
$4,115 - $5,015*
*Based on course prices for AY 24-25, subject to change.
Why This Certificate?
What You'll Study
THREE REQUIRED COURSES
DATA VISUALIZATION ELECTIVE - SELECT ONE
INDUSTRY ELECTIVE COURSES - SELECT ONE
Frequently Asked Questions (FAQs)
Certificate Specifics
Who should get a Certificate in Data Analytics?
The Certificate in Data Analytics is ideal for HR professionals looking to develop skills in data analysis which will allow them to keep pace with the advanced analytics driving current decision making in the human capital space.
How is this data analytics certificate delivered?
This certificate is delivered entirely via an online synchronous format. Classes meet at the specified days and times on NYU Zoom.
Do I have to take the classes in a particular order?
No, classes do not need to be taken in any particular order. No prior skills or knowledge is required and instructors will advise on any required software.
Can I take more than one class per semester?
Yes. However, please be mindful of other commitments. Attendance is expected at every session, and instructors assign work to be completed outside of class.
Further questions?
If you have further questions regarding this certificate, contact us at sps.globalaffairs@nyu.edu.
What is data analytics?
Data analytics is the practice of examining different data types to draw conclusions that inform decisions, solve problems, and guide strategy. It combines technical tools with critical thinking to turn raw information into meaningful insight. In practice, data analytics involves collecting, cleaning, and interpreting data—often through hands-on projects that mirror real workplace scenarios.
Today, data analytics is a core skill set across industries, opening up diverse job opportunities with top employers in business, technology, healthcare, finance, and beyond. Whether you’re strengthening your current role or pursuing a new career, data analytics equips you with in-demand capabilities that help organizations make smarter, faster, and more confident decisions.
What does a data analyst do?
A data analyst works with vast amounts of information to analyze patterns, trends, and relationships that help organizations drive informed decision making. Using a blend of technical skills, statistics, and domain knowledge, data analysts transform raw data into insights that leaders can act on.
Through specialized training, data analysts develop the ability to clean and interpret data, identify meaningful trends, and communicate findings clearly to stakeholders. Their expertise plays a critical role across industries, supporting everything from operational improvements to long-term strategy.
What is the difference between data analytics and data science?
Data analytics focuses on analyzing historical data to uncover trends and inform business decisions, while data science uses AI, machine learning, predictive modeling, statistics, programming, and computer science to extract deeper insights from data and predict future outcomes. Data analytics is a subset of the broader field of data science.
What is a data analytics certificate?
A certificate in data analytics is an academic credential that prepares students and working professionals to use data more effectively in their career—without committing to a full degree. The certificate provides targeted training that builds the ability to work with data in many different forms, helping learners develop practical expertise grounded in NYU’s academic rigor and meet the growing demand from companies seeking data-literate talent. Through access to NYU faculty, curriculum, and learning resources, students gain hands-on experience in collecting, cleaning, analyzing, and visualizing data to support better business decisions.
Who should pursue a data analytics certificate?
Our Certificate in Data Analytics is ideal for professionals across industries, and at any stage of their careers, who want to develop their data analysis skills, learn how to communicate findings clearly, and apply them in real-world contexts—skills increasingly valued by companies of all sizes. Whether you’re looking to gain new technical skills, strengthen your existing expertise, or take a first step toward a more data-focused career, this program is designed to prepare learners to succeed.
General Certificate FAQ
Do I need to declare candidacy for a Certificate in Data Analytics before taking my courses?
It’s preferable if you do, but you can still declare candidacy even after taking a course. Declaring candidacy does not commit you to completing it, but you will receive a 10% discount on future NYU SPS continuing education courses.
Can I apply my 10% discount on courses I’ve already taken?
Assuming the course is part of the certificate, yes, but only if the course was taken within an acceptable time frame. The academic department gives students a specific amount of time to complete a certificate. The start date would be adjusted to the first class to which we applied the discount.
Do I get a digital badge for my Certificate in Data Analytics?
Yes, if a student declares candidacy for a certificate and achieves an average overall grade of B or higher in courses counting toward the certificate, they will be awarded a certificate badge upon completion, which will be shareable on their resume and LinkedIn profile.
Do we get financial aid for these courses?
No, continuing education courses and certificates do not qualify for financial aid.
Can the Certificate in Data Analytics be applied to a degree?
Most continuing education programs do not count as credit toward a degree.
More questions about certificates, courses, or registration?
Please contact sps.info@nyu.edu.
Accessibility
Digital Privacy Statement
University Policies
Web Policy
Academic Accreditation
New York University
New York University
New York University
Equal Opportunity and Non-Discrimination at NYU - New York University is committed to maintaining an environment that encourages and fosters respect for individual values and appropriate conduct among all persons. In all University spaces—physical and digital—programming, activities, and events are carried out in accordance with applicable law as well as University policy, which includes but is not limited to its Non-Discrimination and Anti-Harassment Policy.