ORIE 5270

Last Updated

  • Schedule of Classes - June 15, 2016 6:14PM EDT
  • Course Catalog - June 9, 2016 6:15PM EDT

ORIE 5270
Big Data Technologies

Course information provided by the 2015-2016 Catalog.

This course is an introduction to data science tools and applications. Topics include web scraping, storing and retrieving information from databases such as PostgreSQL, MongoDB, and Neo4j, dealing with large or long-running computations, and creating web APIs to explore data and present results. The course will begin with an intensive programming "bootcamp" to provide a foundation for subsequent material and assignments.  Implementations will typically be done in Python, although suitable alternatives may be used. Lectures will be complemented by lab exercises that emphasize implementation of ideas covered in lectures.


Permission Note Enrollment is limited to: Financial Engineering M.Eng. students in Manhattan.

When Offered Spring.

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Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Graded

  • 18485 ORIE 5270   LEC 001

  • Instruction Mode: In Person

    Taught in New York City.

    Department Consent Required (Add)