Introduction to Data Science

Unit code: VIT1106 | Study level: Undergraduate
Credit points
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Footscray Nicholson
VU Brisbane
VU Sydney
Prerequisites
VIT1102 - Introduction to Programming
(Or equivalent to be determined by unit coordinator)
Overview
Enquire

Overview

This unit explores the foundational concepts and techniques of data visualisation and analytics, equipping students with the skills to transform raw data into meaningful insights. Students will investigate various data sources and types, learning how to import, clean, and preprocess data for analysis. Emphasis is placed on creating effective visualisations and dashboards that clearly communicate complex information, while also introducing AI-assisted approaches to support and enhance the analysis process. Students will apply fundamental analytics methods to identify patterns, trends, and correlations within datasets, enabling strategic decision-making based on data-driven evidence.

Learning Outcomes

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

  1. Explain key concepts and principles of data visualisation and analytics, including their importance in data-driven decision-making;
  2. Import, clean and pre-process datasets to prepare them for analysis and visualisation;
  3. Apply analytics techniques and introductory AI-assisted approaches to identify patterns, trends and outliers in data, and;
  4. Develop effective visualisations and dashboards to communicate insights clearly and accurately.

Study as a single unit

This unit can be studied on its own, without enrolling in a full degree.

Learn more about single units of study at VU

Assessment

For Melbourne campuses

Assessment type: Test
|
Grade: 20%
In-class practical test with verified live interaction.
Assessment type: Portfolio
|
Grade: 40%
A set of scaffolded practical exercises with reflection on what has been learned.
Assessment type: Test
|
Grade: 40%
End of block test, including a practical component.
Assessment type: Other
|
Grade: 0%
Evidence of completion of the Academic Integrity Modules (Hurdle)

Required reading

Required readings will be made available on VU Collaborate.

As part of a course

This unit is studied as part of the following course(s):

Diploma of Information Technology
VDIT | Diploma | Duration: 1 year

Refer to the course page for information on how to apply for the course. VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.

Search for units, majors & minors