University of Auckland

Data Visualisation and Business Intelligence

  • Delivery: Online
  • Study Level: Intermediate
  • Duration: 8 weeks
  • Course Type: Short Course
  • Total Price: $960

Enhance your analytical skills or transition into data-focused roles.

Enrol now

Course overview

The course provides a solid foundation in data visualisation and hands-on experience with industry-standard tools like Python, SQL and PowerBI. Participants will learn to create dashboards, derive insights and solve complex business problems with data-driven solutions. By the end of the course, learners will be equipped to turn raw data into meaningful visual narratives that inform strategic decisions across various sectors.

Key facts

Delivery
Online
Course Type
Short Course
Duration
8 weeks (Part time)
Price
$960
More Information
The programme fees are indicative and estimates only. Fees are set in advance of each calendar year and will be updated on this webpage. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance.
Study Level
Intermediate
Intake
7th July, 2025
29th September, 2025

What you will study

Different ways to think about data

  • Introduces the basics of data and how different perspectives can change how we perceive data. 

Data visualisation 101

  • Investigates the fundamentals of data visualisations. What are some types of data visualisations, why do we use data visualisations, how do we perceive visualisations, and how do we create effective visualisations.

Different types of data visualisation

  • A further deep dive into the different types of visualisations and what information and messages they convey to the receivers.

The fundamentals of PowerBI

  • Introduces the basics of PowerBI and how to work with PowerBI to produce data visualisations.

Working with Python for scripting

  • Introduces the fundamentals of Python language and scripting for data analysis and wrangling.

Database 101

  • Investigates the fundamentals of databases. What are some of the commonly used databases, when to select which database to use as part of the analysis process, and how to effectively utilise databases to produce useful visualisations.

Querying a database

  • A deeper discussion into how to work with databases in order to query and gather data for further data analysis and visualisations.

Statistical modeling

  • Introduces the fundamentals of statistical modeling and the various state-of-the-art strategies commonly used in creating effective visualisations.

 

No formal requirements but basic numeral literacy is expected.

What you will learn

  • Practical Data-Driven Decision-Making: Gain the skills to turn raw data into actionable insights and solve business challenges with strategic, data-backed solutions.

  • Mastery of Industry Tools: Get hands-on experience with Python, SQL, and PowerBI to build analytics pipelines and apply them immediately to real-world scenarios.
  • Flexible, Career-Focused Learning: Learn online at your own pace, balancing professional and personal commitments while applying what you learn to practical business problems and gaining career-ready skills.
  • Enhance Career Prospects in Analytics: Prepare for success in data-driven roles by mastering data interpretation, visualisation, and stakeholder communication to drive business impact.

  • Insightful, Strategic Approach to Visual Communication: Develop a nuanced understanding of how to effectively communicate complex data insights to stakeholders, enhancing your value in roles that require analytical precision and visual clarity.