Teaching Responsibility
LJMU Schools involved in Delivery:
Astrophysics Research Institute
Computer Science and Mathematics
Learning Methods
Lecture
Practical
Module Offerings
7010DATSCI-SEP-CTY
Aims
The module aims to provide an introduction to students from differing academic disciplines to the key concepts of data types, compilation, management, querying, cleaning and visualisation.
Module Content
Outline Syllabus:1. What is data? Introduction to sampling theory.
2. What is data science? The role of the data scientist.
3. Structured vs unstructured data. Relational databases and queries.
4. Dimensionality of data. Time series. Images. Multi-attribute data sets.
5. Metadata and ontologies.
6. Data cleaning.
7. Data vs information. Information retrieval.
8. Data visualization.
9. Presentation of data analysis.
Module Overview:
This module aims to provide an introduction to the key concepts of data compilation, management, querying, cleaning and visualisation.
This module aims to provide an introduction to the key concepts of data compilation, management, querying, cleaning and visualisation.
Assessments
Report
Report