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Course Description

Using practical and understandable real-world examples, this course introduces students to tools and methods for effectively analyzing and interpreting financial data. Emphasis is placed on the effectiveness of data modeling and visualization in guiding managerial decision-making. Students will explore the steps of data collection, probability, uncertainty, and statistical inference. Additionally, students will examine simple and multivariate regression analysis, with a strong focus on practical applications using spreadsheets throughout the course.

Course Objectives

By the end of this course, participants will be able to:

  • Search and collect data across major data sources.
  • Compute and interpret descriptive statistics.
  • Manipulate and visualize financial data.
  • Apply the probability concept to measure investment risk.
  • Understand the basic concepts of sampling and inference.
  • Determine confidence intervals and perform hypothesis testing, including interpretation and communication of results.
  • Develop and apply simple and multiple linear regression models using variables.
  • Integrate graphical and analytic methods for financial modeling.

Applies Towards the Following Certificates

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Type
Online
Dates
Mar 16, 2026 to Mar 29, 2026
Contact Hours
18.0
Course Tuition
Tuition non-credit $850.00
Potential Discount(s)
Instructors
Section Notes

Self-Directed Learning Plus (SDL+) courses are learning experiences designed by Georgetown University instructional designers to maximize flexibility for your weekly learning schedule, while also providing opportunities for real-time engagement and networking with our faculty and other professional learners.

Virtual Class Meetings via Zoom will be held

Monday, March 16, 2026, 7:00 pm – 8:30 pm ET
Monday. March 23, 2026, 7:00 pm – 8:30 pm ET

 

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