Data Analysis and Visualisation

 

Course title   

Data Analysis and Visualisation

Course Codes          

DS6502

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 a range of data analysis and visualisation techniques used in statistical inference and exploratory data analysis.

 

Learning Outcomes

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

  1. Use statistical programming tools and visualisation techniques to analyse data
  2. Identify and explain a variety of techniques used in statistical inference and exploratory data analysis
  3. Interpret and evaluate results derived from the application of confirmatory data analysis techniques
  4. Communicate the meaning of results derived from data analysis to a target audience

 

Indicative content

  • Intermediate statistics for data analysis; confidence intervals, regression analysis, hypothesis tests, accuracy, precision, specificity/selectivity and correlation analysis
  • Information visualisation techniques used in exploratory data analysis
  • Statistical programming languages used to generate descriptive models of data
  • Methods of communicating results derived from data analysis to a target audience

 

 

 

 

 

Have a question
or feedback?

Call us on 0800 935 832
or send us a message