ANA 510 - Statistical Methods for Data Science and Analytics

Credits: 3
Prerequisites ANA-500
This course introduces fundamental techniques of data analysis, emphasizing complex and/or large data sets. Candidates will be introduced to common software and will begin to connect analysis technique with decision-making processes. Topics include the central limit theorem and normal family of distributions, hypothesis testing, analysis of variance, and basic regression analysis. Candidates completing this course will understand basic statistical inference and data manipulation.