Visualisation is extremely popular, with demand for the skill growing exponentially in recent years. This pathway demonstrates how to influence decision making through the effective presentation of data. There is the option to focus on three visualisation tools Microsoft Power BI, Tableau and for those with a background in python, matplotlib and seaborn. Depending on the options taken, there are case studies offered to gain real-world understand of the power of visualisation.

Pathways

Data Visualisation (Power BI)

Fundamentals

Firstly you’ll get an introduction to data visualisation in general. Then you’ll learn how to load and transform data using Power Query, before diving into creating visualizations using Power BI’s drag-and-drop functionality. You’ll also learn concepts such as user-oriented design, data modelling and the basics of DAX, a programming language for building custom calculations.

Pre-requisites: None

Advanced

Having mastered building visualisations, you now understand how to design data models to enrich your visualisations with large datasets drawn from different aspects of the business. In the advanced pathway, you’ll learn how to do time series analysis, identify trends, understand what aspects of the data are influencing your business and how to build PowerBI reports.

Pre-requisites: Completion of Data Visualisation Power BI Fundamentals

Data Visualisation (Tableau)

Fundamentals

Firstly you’ll get an introduction to data visualisation in general. The you’ll learn how to create detail-rich map visualizations, configure date and time fields to show trends over time, and extend your data using Calculated Fields. Through hands-on activities, you’ll learn how to create bins, customize filters and interactions, and apply quick table calculations. Finally, you’ll learn power user techniques, including how to slice and dice data and apply dynamic sets and groups. You’ll also apply your new skills to complete a customer analytics case study.

Pre-requisites: None

Advanced

Learn to apply dashboard-composition best practices, add interactive or explanatory elements, use dashboard actions to make your dashboard interactive and how to share your data story through Tableau’s story functionality. Through hands-on exercises, you’ll also learn how to combine multiple data tables with joins, unions, and relationships.

Pre-requisites: Completion of Data Visualisation Tableau Fundamentals

Data Visualisation (Python)

Fundamentals

Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets. You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations. Seaborn is a powerful Python library that makes it easy to create informative and attractive visualizations. This course provides an introduction to Seaborn and teaches you how to visualize your data using plots such as scatter plots, box plots, and bar plots.

Pre-requisites: None