Introduction to Data Analysis and Visualization (ZD-2401)

Bachelor of Digital Science, Universiti Brunei Darussalam, Digital Science, 2022

Students will learn the latest technologies including Tableau in the field of data analytics.


  • Data pre-processing: data cleaning, handling missing data, graphical methods for identifying outliers, measures of centre and spread
  • Exploratory data analysis: exploring categorical and numeric variables, exploring multivariate relationships
  • Data analytics tool: basic commands, graphics, indexing data, loading data, graphical and numerical summaries
  • Statistical learning: regression versus classification problems, bias-variance trade-off; simple linear regression, multiple linear regression, logistic regression, leave-one-out cross-validation, k-fold cross-validation
  • Data Visualization: Connecting to data, Dimension and Measure, Filtering and Sorting, Aggregation, Calculated Fields, Symbol Map, Trend Lines, Forecasting, Dashboard and Story
  • Case study using visualization tool: apply knowledge on real dataset and create a dashboard to present a story


  • Coursework: 100%
    • Two Lab Tests (30%)
    • Two Class Tests (30%)
    • Two Class Quizzes (20%)
    • One Project (20%)

Academic Calendar

Jan 4 - Jan 9Fresher’s Week
Jan 10 - Feb 27Classes
Feb 28 - Mar 6Mid Semester Break
Mar 7 - Apr 24Classes
Apr 25 - May 8Revision Week
May 9 - May 22Examination
  • Monday 9:50-11:40 and Tuesday 9:50-11:40