Data Visualization

The objective of this Data Visualization training course is to prepare participants for the use of powerful mediums of visualization to identify trends, patterns and other hidden elements of the data they are working with. Further, the course aims at enhancing the knowledge of the delegates in the proper process of creating the visual presentation of their data. The differences between good and bad designs will be highlighted, as well as the steps in adequate visualization of the data.

At the end of this Oxford Management Centre training course, you will learn to:

• Select the Story for your Visual Presentation
• Understand the Power of the Visualization as a Medium
• Identify the Audience for your Visual Presentation
• Acquire the Knowledge to use Excel and PowerPoint as Visual Presentation Tools
• Get the Insight into other Software for Data Visualization
• Understand the Story in the Data
• Present the Story you see in the Data to the Audience

This Data Visualization training course uses a hands-on approach. The participants will themselves use the model data to prepare the visual presentation of the same. Participants will also be able to comment on the already prepared data visualizations and propose enhancements. The participants will walk through the process of data visualization, by identifying the story they want to tell and the audience the story is intended to. This will give participants the possibility to use the data models from their own industry and through the use of Excel and PowerPoint, as well as other software (Adobe Illustrator, 3D Max, etc.) create visualizations of the named data models.

Examples of highly successful visualizations will also be presented as well as the way to determine the timeline in which the visualization can lose its effect.

Whether you are in marketing, research or a production company, you need to present your products, results or achievements to a large audience. Companies have learned that the best way to present your data is through some sort of charts and graphs, however these presentation methods are a bit outdated and companies need to stand out in the crowd if they want their products to be purchased, their research to be notices, or their results to be appreciated, as a result of sending their employees on this training course, organizations can expect to benefit from:

• Acquiring the Employees that are adept to Visual Presentation of the Data
• The Knowledge of How to Identify the Audience for the Data it wants to Present
• Identify the Optimal Software Solution for Data Visualization
• Understand Patterns and Relations that were previously Hidden
• Learn the Focused Approach to Visualization and Problem Solving
  

Participants will learn how to perform the filtering of the data, identification of focused message to present to the audience, use of different visualization techniques for presenting the data; specifically, delegates will acquire:

• The Structured Way of Data Visualization
• Knowledge on How to Differentiate Good Data Visualization from the rest
• The Understanding on How to find Hidden Patterns within the Data
• Step-by-Step Process of Data Visualization
• Framework for balancing the Statistics, Design and Media into one focused Message
• How to Avoid Common Pitfalls of Data Visualization?

This Oxford Management Centre Data Visualization training course has been designed for professionals within marketing, production, business analytics, etc. As most of the people are now required to present their work basically any professional can attend this training.

This training course is suitable to a wide range of professionals but will greatly benefit: 

• Consultants
• Marketing Managers
• Operation Managers
• Project Managers
• Financial Managers
• Data Analysis
• Urban Planners
• Transport and Traffic Engineers
• Supply Chain Managers
• Risk Managers
• Plant Managers
• Production Planners

DAY 1

Telling a Story through Data Visualization 

• The Necessity of Data Visualization
• Basis of Visual Grammar
• Creating a Context
• Determining the Users
• Filtering the Data
• Common Visualization Software
  

DAY 2

Balance between Statistics, Design and Aesthetics 

• Bar Charts, Line Charts and Pie Charts
• Advanced Charts (bubble charts, waterfall charts, etc.)
• Combining the Data from Excel with PowerPoint Presentations
• Let the Data Speak for Itself
• Choosing the Volume of the Data
• Color Management
• Complement of Words and Pictures
  

Day 3

Common Data Visualization Methods 

• Maps and Charts
• Dashboards
• Infographics
• Sankey Diagrams
• Spider Charts
• Geographic Referencing
• Multimedia Presentations
  

Day 4

Creating the Presentation 

• Preparing the Data for the Presentation
• Choosing the Story
• Visual Cues
• Interactive Presentations
• Order Logic
• Adopting the Appropriate Display
• Avoiding Data Chaos
• Voice of the Customer
• Data Visualization Examples
  

Day 5

Promoting and Updating the Data Visualization 

• The Narrative Structure
• Piñata Principle
• Steal the Attention of the Audience
• When and How to Update the Data Visualization
• Use of Data Visualizations in Different Industries
• Applying the Data Visualization at Your Workplace