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Introduction to Real Estate Data Analytics

Real estate has become a sophisticated industry that now relies on advanced data analysis to drive investment and other critical decisions. This course is designed to provide an understanding of the techniques of data analysis and quantitative methods used in the industry. Gain exposure to hands-on projects using data from major providers in the industry. Applied statistics will be presented using the open-source R statistical computing environment, together with Jupyter Notebook, an increasingly popular presentation environment. Get hands-on experience creating statistical models to drive informed decision-making in real estate investment.

Note: Registering at least two weeks prior to the start of the course date is highly recommended. Popular classes fill up quickly and more specialized classes need sufficient enrollment.

For general information about this course, please call 212-992-3336.

If you are registered for an online course and are not able to access/view your course in NYU Classes, please note the following:

  • It may take at least 24 hours from the time you registered for your information to be transferred into NYU Classes.
  • New students registering two days or LESS before the start date of the course may experience delayed access.

For additional technical support, contact the IT Service Desk (available 24/7/365) at 212-998-3333 or AskITS@nyu.edu.

More details

You'll Walk Away with

  • An understanding of the available economic and real estate data sources and the range of potential analyses that can be performed using such data
  • The skills to develop statistical models to inform real estate decisions, including real estate investment decisions
  • The ability to interpret and communicate statistical results

Ideal for

  • Real estate professionals looking to broaden their skill set
  • Those interested in gaining sought-after skills to enter or advance in the real estate industry

1 section

  • Summer 2021

    • Section

      001
    • Semester

      Summer 2021
    • Date

      Jun 1 - Jul 13
    • Day

      Self-Paced
    • Time

      Self-Paced
      • Online
    • Format

      Online
      • Online
    • Sessions

      N/A
    • Location

      Self-Paced
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    • Section

      2
    • Semester

      Spring 2021
    • Date

      Feb 1 - Mar 15
    • Day

      Self-Paced
    • Time

      Self-Paced
      • Online
    • Format

      Online
      • Online
    • Sessions

      N/A
    • Location

      Self-Paced
    Tuition $895