BIS3001 Data Analytics for Business Assessment 2026 | APIC

BIS3001 Data Analytics for Business Assessment

Unit Learning Outcomes

On successful completion of this unit, students will be able to:

• Review current algorithms, methodologies and modelling techniques for Information Systems business analytics.
• Evaluate business analytics tools and techniques and their utility to support different types of business decisions.
• Critically review modern data mining methods and tools.
• Analyse the features, tools and applications of data visualisation.

Workshop 7

Task 1: Install the Weka software: https://sourceforge.net/projects/weka/

Task 2: Weka Data Exploration

In Weka App, select the explorer option, load diabetes. The ARFF dataset from the Data folder, which is installed with Weka software, is used to answer the following questions.

1. How many instances and attributes, including the class attribute, does this dataset have?

768

2. How many class values are present in the dataset, and how many instances are there for each value?

There are 2 class values presented in this database. The class tested_negative has 500 instances, and the class tested_positive has 268 instances.

3. Use histograms with default settings to show which age group has the highest number of samples.

21 to 25

Task 3: Working with the Weka data file

1. Open the iris. arff file from ~/weka/data/ folder in a text editor, then remove 'petal_width' attribute and save it as iris.3D.arff. Please make sure that the Attribute-Relation File Format (.arff) is correctly preserved.

2. Load this file in Weka and include a screenshot of the histograms with the default setting for each attribute in this dataset.