Course Number
16:137:602
Credits
3
Prerequsites
Basic understanding statistical inference and knowledge of statistical distributions.
Instructor's Profile
Description
Learn regression analysis techniques, one of the most widely used statistical techniques across industries. Receive an overview of regression analysis, with a focus on building a greater understanding, theoretical underpinning, and statistical software (R) for applying the regression models and their generalizations. Using the bigger umbrella of generalized linear models, study topics including the design of experiments, logistic and Poisson regression. Examine all aspects of the model-building process using real-life data and statistical software.
Course Objectives
Upon completion of this course, you will be able to:
- Formulate a goal as a regression model
- Use data on given variables to create a predictive model
- Fine-tune a model by detecting outliers and variable transformation
- Update and validate a model using different techniques.
Technical Skills
Regression Analysis