NCC 5010

Global toggle of class tabs

Links for textbooks and Cornell Store open in new tab.

NCC 5010

Course information provided by the 2023-2024 Catalog.

This course will expose you to data analysis and modeling techniques for understanding business situations and improving business decisions under uncertainty. Specific topics are probability, sampling, confidence intervals, hypothesis testing, regression, machine learning, simulation, data visualization, decision analysis, and practical applications.


Permission Note Enrollment limited to: Johnson MBA first-year students.

When Offered Fall, Spring.

Satisfies Requirement Johnson School core course.

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: LAW 6302

  • 2.5 Credits GradeNoAud

  •  8524 NCC 5010   LEC 001

  • Instruction Mode: In Person

    **Open to first-year MBA students only** Non-MBA students will not be allowed to take to this course. No exceptions will be made. This course counts as a Management Science Course.

Syllabi: none
  •   Seven Week - First.  Combined with: LAW 6302

  • 2.5 Credits GradeNoAud

  •  8525 NCC 5010   LEC 002

  • Instruction Mode: In Person

    **Open to first-year MBA students only** Non-MBA students will not be allowed to take to this course. No exceptions will be made. This course counts as a Management Science Course.

Syllabi: none
  •   Seven Week - First.  Combined with: LAW 6302

  • 2.5 Credits GradeNoAud

  •  8526 NCC 5010   LEC 003

  • Instruction Mode: In Person

    **Open to first-year MBA students only** Non-MBA students will not be allowed to take to this course. No exceptions will be made. This course counts as a Management Science Course.

Syllabi: none
  •   Seven Week - First.  Combined with: LAW 6302

  • 2.5 Credits GradeNoAud

  •  8537 NCC 5010   LEC 004

  • Instruction Mode: In Person

    **Open to first-year MBA students only** Non-MBA students will not be allowed to take to this course. No exceptions will be made. This course counts as a Management Science Course.