Course title |
Fundamentals of Data Science |
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Course Codes |
IT5507 |
Level |
5 |
Status |
Elective |
Credits |
15 |
Prerequisite |
None |
Course offered in |
|
Duration |
1 trimester |
|
|
Aim
To provide learners with a basic understanding of how data is modelled, stored, manipulated and analysed using databases and visualisation techniques.
Course content
Data visualisation techniques such as bar charts, pie charts, scatter diagrams, gauges and bubble charts created within a variety of software tools, Conceptual and logical data modelling techniques that capture the data requirements of simple systems, Normalisation of tables, Introduction to Structured query Language (SQL) such as Data Definition language (DDL) and Data manipulation language (DML) statements to create simple databases and to manipulate and extract data
Learning objectives
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