Data Visualisation Workshop

Workshop

Telling compelling action-oriented stories with data

- Learn the power of narrative and how to effectively communicate with data

- Understand the power of visual storytelling

- Making the right graphical choices and controlling the narrative

Understand the power and purpose of data visualisation

- History of data visualisation, recent developments and future outlook

- Visualisation to drive decision-making for your department

- Knowing your why and what your data needs to achieve

Tapping the five pillars of an organisation’s data science and analytics maturity

- Making sense of your organisation’s analytics capacity to create compelling data vis

- Plotting a roadmap from business strategy to data visualisation

- In-depth understanding of what makes successful organisations do data right

Connecting the dots

- Assess various use cases and meaning of data vis solutions

- Inputting data effectively and the importance of tool selection

- Design fundamentals for data visualisation

Workshop

Data design fundamentals and visualisation literacy

- Formats for data visualisation and presentation - chart types, animation, infographics

- Picking the right visual language to influence your audience

- Simplifying the data to tell your story more effectively

Deciphering key components of data visualisation

- Understanding graph theory and colour theory 

- How different shapes and objects are perceived and create meaning

- Practical interactive activities exploring use cases of data visualisation

Software, tools and dashboards

- Explore information presentation tools and software options

- Differences between different types of visualisation, tools and best practice

- Overview of Tableau Desktop, R, Power BI and more

Dashboards design and information hierarchy

- Selecting the right option and organising your data and dashboards

- Working with complex charts and data visualisations

- Creating a clear and accessible model

Workshop

Data science and analytics fundamentals

- Explore the fundamentals of analytics behind high impact data visualisation 

- Tackling challenges and creating solutions using basic data science

- Working with predictive analytics models and basic algorithms

An introduction to predictive analysis and insights automation

- Data science fuelling forecasting and optimising operations

- Explore machine learning solutions, market segmentation, recommendation engines

- Linking predictive analytics and insights to data visualisation

Scalable, interactive and actionable data solutions

- Explore common pitfalls and hurdles for successful operational management 

- Ensure the data model can be understood, maintained, and updated

- Ensure technical changes comply with strategy and best practice

Data visualisation in action

- Revisit the main themes, tools, techniques and strategies

- Build a practical action plan to apply learnings to your organisation

- Group discussion, final reflections and insights