Statistical Foundations of Analytics

MGQ-606LEC-OBO1

University at Buffalo

  • Semester
    Fall 2024
  • Instructor
    Dianna Marie Cichocki
  • Start Date
    10-17-2024
  • Total Credits
    3
  • Call to Register
    716-645-5698

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You will learn the same curriculum as our on-campus students

This course covers the fundamental concepts in statistics that are essential for business and data analytics. Probability Theory and Sampling Theory are the two foundations of both descriptive and predictive forms of analytics. Building from these foundations, students are introduced to the statistical concepts of data analysis. Topics covered include: descriptive statistics, probability theory, discrete and continuous probability distributions, sampling theory, estimation, hypothesis testing, distribution fitting using chi-square tests, simple and multiple linear regression, introduction to causal modeling and predictive data analytics. MS-Excel based data modeling will be used extensively throughout the exposition of the concepts.
Course Area: Management
Level: Graduate
Dates: 10-17-2024 - 12-09-2024
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Instructor: Dianna Marie Cichocki
Local Course ID: 24FA_BUF_MGQ606_LECOBO1
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