Course Details in 2023/24 Session

Module Title	LC Introduction to Data Analysis
School	Mathematics
Department	Mathematics
Module Code	06 39650
Module Lead	TBC
Level	Certificate Level
Credits	10
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-24 hours Guided independent study-76 hours Total: 100 hours
Exclusions
Description	Many jobs and professions necessitate the ability to make objective decisions based on statistical data. This module aims to introduce students to the foundational concepts of data analysis and the application of statistical packages. Students will engage in activities involving data sampling and exploration, coupled with an introduction to basic probability concepts using statistical software. The module will also provide an overview of a diverse set of exploratory data analysis techniques, such as numeric summary statistics and fundamental data visualization. Students will be guided through the installation and use of various statistical software. They will use these platforms for lab exercises and projects, providing them with practical, hands-on experience. The module is designed to develop fundamental programming skills, which will serve as a solid foundation for inference and modelling tasks in advanced-level courses. This ensures students are well-prepared for the complexities and challenges of data analysis they might encounter in their future professional roles.
Learning Outcomes	By the end of the module students should be able to: Understanding exploratory data analysis via computation, simulation, and visualization utilizing statistical software. Acquire a foundational knowledge of standard univariate distributions and their properties. Learn how to collect, analyse, and correctly interpret data. Enhance skills pertinent to data analysis through hands-on projects. 20.5 Become proficient in writing concise reports that describe, analyse, and interpret datasets using statistical concepts.
Assessment	39650-01 : Raw module mark : Coursework (100%)
Assessment Methods & Exceptions	Assessment: 1.5 hour examination (80%), coursework (20%) Reassessment: 1.5 hour resit examination
Other
Reading List