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
Take your class online with SUNY
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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