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FTA 3100 - Foundations of Data Analytics

Description

This course is designed to provide a comprehensive overview of the various modeling and analytical techniques used in the business world to make informed decisions based on data. The course teaches students how to interpret data, as well as how to perform basic descriptive statistics and make meaningful inferences. In addition, the course also covers the various statistical models and methods used in business data analytics, such as regression and time series analysis, forecasting, linear programming models, etc. Students will apply learned skills to real-world business scenarios.

Upon successful completion of the course students will be able to:

  1. Perform basic spreadsheet tasks in Microsoft Excel and R.
  2. Calculate and assess probabilities from several common probability distributions.
  3. Describe, analyze and visualize data.
  4. Make decisions using several decision-making criteria.
  5. Obtain and interpret linear regression models for decision-making.
  6. Obtain and interpret forecasting models for decision-making.
  7. Formulate and solve linear programming models.
  8. Formulate and solve integer and nonlinear programming models.
3

Credit Hours

Financial Technology

Prerequisites

  • None

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