Data Analysis
1. Foundational Understanding: The course establishes a solid foundation by emphasising the importance of data visualisation, guiding participants through the installation process of Tableau, and illustrating the practical application of concepts through a compelling case study.
2. Hands-On Data Manipulation: Participants gain hands-on experience in importing and manipulating data within Tableau, exploring diverse visualisation types and transforming raw numerical data into meaningful visualisations.
3. Advanced Techniques: cover advanced visualisation techniques, including trend analysis, outlier detection, and handling multiple variables.
4. Ethical Considerations:, the course underscores the responsibility associated with presenting data visually
5.Storytelling and Interactivity: The course concludes by empowering participants to tell compelling stories with their data through effective dashboard design and interactive storytelling techniques
Students and Academics
Anyone Interested in Data Visualisation
Intro
Why Data Visualisation
How to install tableau
Case study
Import data to tableau
Types of visualisations in tableau
From numbers to visualisation
Trend overtime
More visualisations
Ethics in data visualisation
Visual Perception
Pre attentive attributes
Ask you a question
Outliers
More than one variable chart
Working with geographic data
Creating a dashboard
Best practice for dashboard
How to tell a story with data
Creating interactive story
Conclusion
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