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Data Visualization Technologies

Track :

Computer Science

Lessons no : 38

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What will you learn in this course?
  • Create interactive dashboards using popular data visualization tools like Tableau and Power BI for real-world insights
  • Design compelling visualizations with D3.js and Chart.js to communicate complex data effectively
  • Implement advanced data visualization techniques to highlight trends, patterns, and outliers in large datasets
  • Apply best practices for data storytelling to enhance decision-making and stakeholder engagement
  • Utilize Python libraries such as Matplotlib and Seaborn to generate insightful static and animated visualizations
  • Develop custom visualizations with JavaScript to meet specific project requirements and improve user experience
  • Evaluate different visualization technologies to select the most suitable tools for diverse data projects
  • Integrate data visualization tools with databases and APIs for seamless data analysis workflows
  • Optimize visualizations for web and mobile platforms to ensure accessibility and responsiveness
  • Employ data visualization principles to improve data clarity, accuracy, and interpretability
  • Leverage cloud-based visualization platforms for scalable and collaborative data analysis
  • Analyze case studies to understand successful implementation of data visualization technologies in various industries

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Lessons | 38


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Data Visualization Technologies course, in this course, Explore the latest tools and technologies for creating dynamic and interactive data visualizations.