Data Mining Tools and Techniques

Course title   

Data Mining Tools and Techniques

Course Codes          

DS6503

Level  

6

Status            

Elective

Credits

15

Prerequisite 

IT5507 Fundamentals of Data Science

Course offered in

Refer to Programme Course Selection Sheet

Duration

1 trimester

 

 

           

 

Aim

To introduce learners to the data science process and the application of data mining tools and techniques.

 

Learning Outcomes

On successful completion of this course, the learner will be able to:

  1. Identify and explain the steps associated with the data science process
  2. Define the data requirements for a range of analytical problems
  3. Identify and explain the basic application of a variety of commonly used data mining techniques
  4. Perform an introductory analytical investigation using the data science process and a statistical programming tool

 

Indicative content

  • The steps of the data science process and its application within business analytics
  • Data pre-processing techniques for dealing messy data using software tools
  • Determining data requirements to develop predictive models
  • Types of data, descriptions of data, measures of similarity and dis-similarity
  • Introductory Classification, Association Rules, Clustering and Machine Learning categories of data mining techniques using statistical programming tools

 

 

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