Mastering Data Visualisation
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Introduction
Objective
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Data is ubiquitous; nonetheless, without appropriate visualisation, it frequently remains unnoticed, misconstrued, or disregarded. The Mastering Data Visualisation course at LPC Training enables the conversion of raw data into visual narratives that enlighten, persuade, and incite action.
Over five practical days, you'll learn how to design visualisations that are not only accurate but also compelling. You'll work with tools like Python (Matplotlib, Plotly), Power BI, and Tableau to clean, structure, and visualise data effectively. From building dashboards and interactive charts to applying storytelling techniques that resonate with both technical and non-technical audiences, this course shows you how to make every visual count.
Whether you're presenting insights in a meeting, building reports for executives, or creating dashboards for wider teams, you’ll learn to choose the right visual, shape your message, and make your data truly speak.
Course Outline
Introduction to Data Visualization
- Definition of data visualization and its importance in decision-making
- Discussing human perception and cognition in data visualization
- Exploring common types of data visualisations and their functions:
- Charts and Graphs
- Maps and Geospatial Visualizations
- Diagrams
- Understanding data structure, types, and variables
- Introduction to data visualisation tools and their features:
- Python and its libraries
- Power BI
- Tableau
- Analyzing the impact and utility of real-world data visualization examples
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