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 third course of the Data Visualisation ExpertTrack, 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 and across a range of industries as demand for strong data analytics and visualisation skills grows.
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.
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, the final in the ExpertTrack, 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:
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.