Data analysis is a process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information for supporting decision-making.

Data visualidation is an interdisciplinary field that deals with the 1D, 2D and 3D presentation of data.

The course outcomes of Data Analytics and Visualisation are to:

  • Apply the data analytics concepts in business scenario;

  • Apply Extract-Transform-Load (ETL) process;

  • Assess descriptive analytics for business intelligence;

  • Construct predictive models for different business applications;

  • Develop dashboard for data visualization.

Announcements / Assessments

May 2021 Semester:

  • Test 2: Week 10

    • Covering Topics 1 to 5

    • 2 Hours?

    • 25 Marks

  • Assignment 2 Report

    • Deadline: Week 11

    • 20 Marks

  • Assignment 2 Oral Presentation

    • Tentatively Week 11 or 12.

    • Need to prepare and submit presentation slides

    • 5 Marks.

  • No Final Examination.

Lecture Slides

References