Data Visualisation

Effectively visualising results from data analysis is crucial for clear communication of research findings. This resource highlights the “Developing Your Data Skills” programme and explores prominent data visualisation tools, including Tableau and Power BI. For those interested in coding-based solutions, we will also cover training resources for Python and R.

This programme offers training across various data analysis and visualisation tools. A series of LinkedIn Learning courses that cover statistics, data science, and the use of Excel, R, Python, SQL, and Power BI. The program concludes with a data project where participants apply their newly acquired skills.
The certificates are available at three levels—beginner, intermediate, and advanced—designed to fit alongside full-time work or study with an average commitment of 1-2 hours per week over six months. Completing the online courses and the data project is required to earn the certificate. Additionally, many of the LinkedIn Learning courses offer certificates that can be added to LinkedIn profiles.

Data Skills programme

Who is it udeful for? 

These certificates are ideal for anyone seeking a thorough understanding of data science and the tools available for analysis and visualisation - regardless of their current level of knowledge.

Tableau is a powerful visual analytics platform designed to handle and interpret large datasets. It allows users to clean, analyse, and visualise data from a variety of sources and share their findings through interactive dashboards, PowerPoint presentations, PDFs, or standalone worksheets.

Tableau website

Who is it useful for? 

Tableau is ideal for users who need to clean and visualise large datasets without learning a more coding-based programme such as R or those who prefer working offline on a Mac.

R is a programming language specifically designed for statistical computing, data analysis, and visualization. R is available for free download and for enhanced usability, it is often paired with RStudio. R works across various operating systems, including Windows, macOS, and Ubuntu.

The R project RStudio

Who is it useful for? 

R is particularly suited for those who need to solely perform extensive statistical computing and data visualisation.

Python is a high-level, general-purpose programming language renowned for its versatility and ease of use. Python can be downloaded for free. It is often used with Anaconda, which simplifies package management and deployment. Python is compatible with a wide range of operating systems.

Python Anaconda

Who is it useful for?

Python is ideal for those seeking a versatile tool for not only statistical computing and data visualization but also a broad range of other programming tasks.

Power BI is Microsoft’s data visualisation tool. It enables users to create and share interactive dashboards from diverse data sources and offers a user-friendly interface for data analysis and presentation.

Power BI

Who is it useful for? 

Power BI is best suited for users who need to create and publish dashboards from multiple data sources and prefer a tool that operates on Windows.