Executive Development Programme in Data Visualization for Engineering
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⢠Fundamentals of Data Visualization: An introduction to data visualization, covering primary concepts, principles, and best practices.
⢠Data Visualization Tools and Technologies: Overview and hands-on experience with popular data visualization tools, such as Tableau, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly).
⢠Data Preparation for Visualization: Techniques for data cleaning, preprocessing, and transformation to support effective visualization.
⢠Statistical Analysis and Data Visualization: Introduction to statistical methods and their application in data visualization for engineering analysis.
⢠Visual Storytelling with Data: Techniques for creating compelling narratives through data visualization, emphasizing effective data presentation and communication skills.
⢠Dashboard Design and Development: Best practices for designing interactive and user-friendly dashboards, integrating multiple visualizations to facilitate decision-making.
⢠Advanced Data Visualization Techniques: Exploration of advanced visualization methods, such as geospatial data visualization, network diagrams, and complex data relationships.
⢠Data Security and Privacy in Visualization: Understanding the importance of data protection and privacy in data visualization, with practical strategies to mitigate potential risks.
⢠Evaluating and Improving Data Visualizations: Techniques for evaluating and refining data visualizations, focusing on user feedback, usability testing, and iterative design.
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