Certificate Data Insights: Visualizing with D3.js (Refreshed)

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The Certificate in Data Insights: Visualizing with D3.js (Refreshed) is a comprehensive course that empowers learners with the skills to create dynamic and interactive data visualizations using D3.

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js, a popular JavaScript library. This course emphasizes the importance of data visualization in today's data-driven world, where the ability to present complex data in an easy-to-understand format is crucial. With the ever-growing demand for data analytics professionals across various industries, this course provides learners with a valuable skillset that can help advance their careers. Learners will gain hands-on experience in creating custom visualizations, animations, and interactive graphics, making them highly sought after in today's job market. By the end of this course, learners will have a solid understanding of D3.js and its applications, equipping them with the tools to turn data into actionable insights.

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โ€ข Introduction to Data Visualization with D3.js
โ€ข Setting up the Development Environment for D3.js
โ€ข Understanding Scales in D3.js
โ€ข Creating Basic Charts with D3.js: Bars, Lines, and Pies
โ€ข Working with Geographical Data using D3.js and TopoJSON
โ€ข Animating Data Visualizations with D3.js
โ€ข Implementing Interactivity in Data Visualizations with D3.js
โ€ข Advanced Data Visualization Techniques with D3.js
โ€ข Best Practices and Trends in Data Visualization with D3.js
โ€ข Final Project: Building a Complete Data Visualization with D3.js

่Œไธš้“่ทฏ

This section showcases the demand for various data-related roles in the UK using a 3D pie chart powered by Google Charts. The chart features the following roles: Data Scientist, Data Analyst, Data Engineer, BI Analyst, and Data Visualization Specialist. The chart is designed to be responsive and adapt to different screen sizes, ensuring a seamless experience for users. To create this engaging visual representation, we first load the Google Charts library and then define the chart data using the google.visualization.arrayToDataTable method. The is3D option is set to true to achieve the desired 3D effect. Next, we set the chart options, including backgroundColor, legend, fontName, fontSize, and slices. Each role is assigned a unique color for easy differentiation. Finally, we render the chart using the new google.visualization.PieChart function, passing the chart_div element as the container and the data and options objects as arguments. The result is an informative and visually appealing chart that highlights the demand for data-related roles in the UK.

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CERTIFICATE DATA INSIGHTS: VISUALIZING WITH D3.JS (REFRESHED)
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London School of International Business (LSIB)
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05 May 2025
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