Global Affairs and Fundraising Certificate in Data Analytics

Diploma Description

Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more, and is constantly being amassed across industries in order to better understand and solve important issues. Data analytics is the collection, transformation, and organization of these facts in order to draw conclusions, make predictions, and drive informed decision-making. Organizations need data analysts to prepare, process, analyze, and visualize data to discover patterns and trends. Their work empowers their wider team to make better business decisions. See program outline here.

This program is designed for professionals across disciplines who are seeking to develop the analytical mindset needed to make actionable decisions and strategies by analyzing and interpreting multiple types of data. 

Courses will provide a foundational grounding in statistical analysis, database management, analytic software and tools, and training to communicate findings. Through industry-based electives, participants will be able to apply the skills within a practical context and gain experience with real-world applications.

Program Prerequisite:

Individuals starting the program should possess the following core competencies in Excel:

  • PivotTables
  • Creating basic charts
  • Filtering and sorting data
  • Formulas such as SUM, SUMIF, COUNT, COUNTIF, IF, VLOOKUP

 

Program Details:

5 Courses Total - Please view the full list of elective requirements here.

 

Please view the full list of elective requirements here

For more information about the Certificate in Data Analytics, please reach out to Michelle D’Amico at michelle.damico@nyu.edu.

Must be completed within

3 years

You'll Walk Away With

  • A foundational grounding in statistical analysis, database management, and analytic software and tools
  • The ability to compile and communicate findings

 

Program Curriculum

COURSES THAT GIVE YOU THE SKILLS AND TRAINING YOU NEED TO START YOUR NEW CAREER

Program Curriculum

COURSES THAT PROVIDE FOUNDATIONAL INFORMATION IN THE FIELD WITH OPTIONS TO SPECIALIZE IN AN AREA RELEVANT TO YOUR NEEDS

REQUIRED COURSE - PLEASE TAKE FIRST

All Courses Required

Foundational Statistics

This course will provide a practical, hands-on foundation in basic statistics. It will begin by covering the essential concepts and steps to...

2022 Fall
1 section

ELECTIVE COURSES

Complete 4

SQL Programming Language

Learn to use SQL to select, update, insert, and delete data from database tables, and acquire hands-on experience with both Oracle and MySQL.

2022 Fall
1 section

Database Management Using SQL

Learn to query and aggregate using SQL in order to perform analytics on multiple data sets quickly and efficiently.

2022 Fall
1 section

Visual Analytics with Tableau

Master the art and science of communicating business-relevant implications of data analyses using Tableau, the industry’s leading software.

2022 Fall
1 section

Statistical Foundations of Data Visualization

This course covers the essentials of the statistical foundations of visualizing data.

2022 Fall
1 section

Data Analysis with R

In Data Analysis with R, you'll learn the core concepts of this commonly used open source language, including element and object types,...

Introduction to Python Programming

Learn how to develop feature-rich applications with Python and to access standard and third-party modules and packages.

2022 Fall
2 sections

Advanced Topics in Real Estate Data Analytics

Gain hands-on experience creating statistical models to drive informed decision-making in real estate investment.

Data-Driven Analytics to Inform Your Organization's Diversity, Equity, and Inclusion

Deepen your DEI analytics capabilities to connect internal and external data sources with insights into ecosystems of partners and competitors.

2022 Fall
1 section

Foundations of Sports Analytics

**Registration for this course will be open until November 1, 2022 for the fall semester.** This course outlines the fundamental principles...

2022 Fall
1 section

Analytics for Energy Professionals

Explore methods for energy analysis and management and processes to collect and analyze data, and then practice interpreting and utilizing it.

2022 Fall
1 section

Foundational Analytics for Government and Non-Profits

With perpetually low levels of funding and a high demand for accountability, strong analytic skills are essential to the success of...

Data Analytics in the Field of Education

The field of education is swimming in data, and this course is designed to help you harness it to improve educational effectiveness. It will...

General Admission Requirements

For those who have completed some college Completion of 32 credits with at least 2 years work experience OR 60 credits with no work experience required