Data Visualisation Techniques (Online Programme)

Overview

Duration: 2-week online course | 2 hours per week

We have created many analytical tools that can gather data from myriad of sources in real time, as the data is being created practically. The tools and database applications are creating masses of data that is available continuously to organisations. The problem is that the old columnar format of reports so long employed by businesses no longer provides the immediate answers to questions that the businesspeople need in order to make informed decisions. In fact, in today’s world, traditional reports created through analytics usually must be re-analysed to gain any real insights.

So with all of this data available, and all the answers to business questions contained within, how do we best present the data so that the insights are obvious? This is the purpose of data visualisation: format and present the data in a way that the results are clearly visible through graphs, charts, maps, dashboards and so forth.

This course describes the basics of how to present data to people, especially management, in a way that it can be understood completely and unambiguously and used to solve problems, answer questions, and make better informed decisions.

Who Should Attend

Job titles that may find this course most beneficial include, but is not limited to:

• Data analysts
• Business analysts
• Data scientists
• Business managers
• Business executives
• User experience analysts
• Graphic designers
• Web designers and developers
• Anyone working with data analytics, artificial intelligence or machine learning

Benefits of Attending

• Why do we need to turn data into visualisations?
• How do I present the results of analysis to management in a way that people will understand completely?
• What are the forms of visualisation I can use and in what circumstances should I use each?
• How can I present multidimensional data without losing the dimensions?
• How can I include non-structured data, such as streaming audio or video, in a meaningful manner in a visualisation?