Learn the techniques that underpin predictive data analytics and understand the ethics behind them. 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.
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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.
What topics will you cover?
- Introduction to predictive modelling
- Data models
- Data ethics
- Working as a data analyst
What will you achieve?
By the end of the course, you‘ll be able to...
- Identify the application and techniques that underpin predictive analytics
- Evaluate the effectiveness of models
- Identify and articulate ethical issues that can arise when conducting data analysis and modelling using personal information
- Identify supporting skills and emerging ways of working that benefit data analysts
Who is the course for?
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:
