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

Assessment

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