Overview
This Introduction to Data Visualisation course at the University of Roehampton introduces you to the principles and tools of effective data visualisation.
Features
You will learn how to transform complex data into clear, compelling visual stories using industry-standard tools and techniques.
Through practical exercises and real-world examples, you’ll learn how to select the right visual formats, design clear and engaging graphics, and use leading data visualisation tools.
Programme Structure
Learning outcomes:- Understand the principles of effective data visualisation and its role in decision-making
- Learn to select appropriate visualisation types for different data sets and audiences
- Gain hands-on experience with tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn)
- Develop skills to create clear, engaging, and informative charts, graphs, and dashboards
- Apply best practices for designing visualisations that tell compelling data-driven stories
Key information
Duration
- Full-time
- 1 days
Start dates & application deadlines
- TBC
Language
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 59 other Short Courses in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Whether you're an educator, researcher, business professional, or data enthusiast, mastering data visualisation can enhance your storytelling and decision-making.
Tuition Fees
-
International Applies to you
Applies to youNon-residents175 GBP / full≈ 175 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents175 GBP / full≈ 175 GBP / full
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.