Data Visualisation: Data Dashboards and Storytelling with Tableau

Do you want to bring your predictive models to life and communicate with a diverse audience?

Data visualisation is a great tool for predictive analysis and bringing statistical models to life within your organisation.

You’ll learn how to use your data to make business predictions and get to grips with the ethical issues that can arise in the process.

On this course, you’ll explore statistical techniques and the importance of testing and refining the models that you use for data analysis.

These skills will open career opportunities for data professionals across a range of industries as demand for strong data analytics and visualisation skills grows.

Identify the techniques that underpin predictive data analytics

Understanding the core mechanics of your predictive models is essential for testing and fine-tuning them. You’ll review the ideas and theories that underpin your predictive analytics and learn to evaluate the effectiveness of each model.

Building a strong grasp of these theories means that you can interrogate your data more closely and find models that best suit your business, your customers, and the current markets.

Review ethical issues related to data analytics and modelling

Using and manipulating personal information comes with both ethical and legal considerations. You’ll learn to identify those ethical issues, and how to articulate them to your business to ensure that you work within the law and your corporate social responsibility.

Upon completion of this course, you will feel confident in not only creating effective data visualisations but also in responding to challenges and ensuring your organisation is complying with ethical and legal responsibilities around data handling.

This data analytics course is for professionals that require data visualisation skills to successfully meet the demands of their role, or to progress into new opportunities. It would also be suitable for people who currently analyse and present data at work but would like to understand predictive models more thoroughly, and clarify ethical considerations.

This includes:

• career starters wanting to develop their data analytics and visualisation skills to increase their chance of career progression and promotion
• business or art graduates who would like to add quantitative skills, data visualisation techniques, and predictive modelling to their skillset.

If you want to deepen your understanding of this subject, you may be interested in these courses. They are from the same provider and share the same subject and overall learning outcomes. Access them here:

• Data Visualisation with Tableau Fundamentals
• Data Visualisation: Creating Charts and Complex Visualisations in Tableau

During the course we’ll be using Tableau Public and Excel. If you don’t have Excel, you might find this online version useful.

We recommend you use a computer to access this course.

• Dashboards for data communication
• Welcome to the course
• Critical business metrics
• Dashboards as a strategy for data communication
• Designing effective dashboards
• Wrap-up
• Designing dashboards
• Introduction to effective dashboard design
• Principles of effective dashboard design
• Ensuring dashboard accessibility
• Designing and prototyping dashboards
• Wrap-up
• Creating dashboards in Tableau
• Introduction to dashboards in Tableau
• Creating dashboards in Tableau
• Adding objects to dashboards in Tableau
• Creating interactive dashboards in Tableau
• Wrap-up
• Telling stories with data
• Introduction to storytelling your data in Tableau
• Telling a data story with Tableau
• Creating and publishing stories in Tableau
• Wrap-up