Teaching Responsibility
LJMU Schools involved in Delivery:
Computer Science and Mathematics
Learning Methods
Lecture
Practical
Module Offerings
5123COMP-SEP-CTY
Aims
To develop a theoretical knowledge of statistical skills to solve data science problems
To develop and display solutions to data science problems by applying statistical theory using appropriate software applications
Learning Outcomes
1.
Applying appropriate statistical theory data science problem to derive meaningful solutions.
2.
Apply appropriate statistical theory and derive meaningful solutions in a suitable programming language
Module Content
Outline Syllabus:Review summary statistics
Assumption testing for statistical test
Normality
Multivariate normality
Homoscedasticity
etc
Correlation and Covariance
Non-parametric test – Chi Square
T-Tests
One sample T-test
Two sample T-test
Paired Two-sample T-Test
ANOVA
Linear Models
Simple Linear Regression
Multiple Regression
Discussion of Generalized Linear Models
Logistic Regression
Poisson Regression
Model Diagnostics
Residuals – ANOVA – Akaike Information Criteria (AIC)
Cross-Validation
Bootstrap
Nonlinear Models
Nonlinear Least Squares
Generalized Additive Models
Decision trees
Random Forests (Ensemble)
Module Overview:
To develop a theoretical knowledge of statistical skills to solve data science problems To develop and display solutions to data science problems by applying statistical theory using appropriate software applications Although an apparently heavy theoretical treatment of the area, this is intended to be a practical, hands-on exploration of the area.
To develop a theoretical knowledge of statistical skills to solve data science problems To develop and display solutions to data science problems by applying statistical theory using appropriate software applications Although an apparently heavy theoretical treatment of the area, this is intended to be a practical, hands-on exploration of the area.
Additional Information:Although an apparently heavy theoretical treatment of the area, this is intended to be a practical, hands-on exploration of the area.