Why Should You take This Statistical Models for Data Analysis course?
Are you looking for an opportunity to learn R-Plus for statistical computing and Minitab? This Statistical Models for Data Analysis course is data driven, designed to equip learners with capabilities to manipulate complex and simple data without sweating. At the end of the course learners will be able to analyze data using Minitab and R-Plus. Examples are demonstrated and illustrated using both Minitab and R/S-Plus statistical software.
This Statistical Models for Data Analysis course provides the opportunity for students to learn R-Plus and Minitab at the same time. Examples given during in class assignments are illustrated using both software packages.
Intended Audience:
In this course you will learn about:
Course Completion Requirements: There will be in-class assignments, exercises and projects. Full completion of assignments and attendance at all classes is required to earn certification. No quiz or final exam.
Week 1
Simple Linear Regression
Week 2
Multiple Linear Regression
Week 3
Non-Linear Regression
Week 4
Logistic Regression
Week 5
Criteria for Model Selection
Week 6
Criteria for Model Validation
Week 7
Single Factor Design of Experiments (DOE)
Week 8
Two Factors Design of Experiments (DOE)
Week 9
Three Factors Design of Experiments (DOE)
Week 10
K-factor Experiments with two Levels, and
Fractional Factorial Designs