Executive Development Programme Data Visualization using Particle Effects
-- ViewingNowThe Executive Development Programme: Data Visualization using Particle Effects is a certificate course designed for professionals seeking to enhance their data analysis and visualization skills. In today's data-driven world, the ability to interpret complex data sets and present them in an engaging and informative way is in high demand.
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This course provides learners with the skills to create dynamic and interactive data visualizations using particle effects, which can help to reveal patterns and trends that might otherwise go unnoticed.
By gaining expertise in this area, learners will be able to communicate insights more effectively to stakeholders, leading to better decision-making and business outcomes. The course is relevant to professionals in a variety of industries, including business, finance, healthcare, and technology. By completing this programme, learners will be well-equipped to advance their careers and stay ahead in a rapidly changing job market.
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โข Data Visualization Fundamentals
โข Understanding Particle Effects
โข Designing Effective Particle Visualizations
โข Implementing Particle Effects in Data Visualization Tools
โข Creating Engaging Executive Dashboards with Particle Effects
โข Best Practices for Data Storytelling with Particle Effects
โข Analyzing User Engagement with Particle Visualizations
โข Troubleshooting Common Issues in Particle Effects Visualization
โข Advanced Techniques for Interactive Data Visualization
โข Evaluating and Improving Data Visualization Performance
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The above code creates an engaging and interactive 3D pie chart to visualize the demand for various roles in the UK job market. The chart uses Google Charts, a popular data visualization library. The is3D option is set to true to create a 3D effect that enhances the visual appeal of the chart. The background color is set to transparent, and primary and secondary colors are used to differentiate between the slices.
The chart is rendered within a element with the ID 'chart_div'. The width is set to 100% to make it responsive and adapt to all screen sizes. The height is set to 400px to ensure proper spacing.
The chart data is defined using the google.visualization.arrayToDataTable method. The data represents the percentage of job demand for various roles, such as Data Scientist, Project Manager, Software Engineer, Business Analyst, DevOps Engineer, Product Manager, Cybersecurity Specialist, UI/UX Designer, and QA Engineer. The percentages are arbitrary values and should be replaced with actual statistics.
The options parameter is used to customize the appearance of the chart. The background color is set to transparent, and the legend position is set to 'labeled'. The pieSliceText option is set to 'value' to display the value of each slice inside the pie. The slices are colored using primary and secondary colors to differentiate between them.
The chart is rendered using the draw method of the PieChart class. The method takes two parameters: the data and the options.
In conclusion, the above code provides an effective and engaging way to visualize job market trends, salary ranges, or skill demand in the UK using a 3D pie chart with particle effects. The chart is customizable, responsive, and adapts to all screen sizes.
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EXECUTIVE DEVELOPMENT PROGRAMME DATA VISUALIZATION USING PARTICLE EFFECTS
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London School of International Business (LSIB)
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05 May 2025
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