Certificate D3.js: Data Visualization for Non-Programmers

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Certificate D3.js: Data Visualization for Non-Programmers This certificate course is crucial for professionals seeking to effectively communicate data insights, without requiring extensive programming experience.

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이 과정에 대해

D3.js is a popular JavaScript library for producing dynamic, interactive data visualizations, and is widely used in data journalism, research, and business intelligence. The course emphasizes hands-on experience, enabling learners to create visually appealing and informative charts, graphs, and maps. It covers fundamentals like data manipulation, scales, axes, and shapes, as well as advanced topics such as animation, transitions, and nested selections. By mastering D3.js, learners enhance their data storytelling abilities, making them more valuable in today's data-driven industries. With the increasing demand for data visualization skills, this course equips learners with essential skills for career advancement. Stand out in the competitive job market by gaining the expertise to create compelling data visualizations and improve decision-making processes in your organization.

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과정 세부사항

• Introduction to D3.js and Data Visualization: This unit will cover the basics of D3.js, data visualization, and why they are important. It will also touch on the benefits of using D3.js for non-programmers. • Setting Up Your Development Environment: This unit will cover the necessary tools and software needed to start working with D3.js. It will also provide step-by-step instructions on how to set up your development environment, including how to install D3.js. • Understanding Data Formats: This unit will cover the most common data formats used in data visualization, including CSV, JSON, and XML. It will also provide examples of how to work with each format using D3.js. • Creating Basic Visualizations: This unit will cover the basics of creating visualizations with D3.js, including how to create scales, axes, and basic shapes. It will also provide examples of how to customize the visual appearance of your visualizations. • Creating Interactive Visualizations: This unit will cover how to add interactivity to your visualizations using D3.js. It will cover topics such as adding tooltips, zooming and panning, and handling user input. • Advanced Visualizations: This unit will cover more advanced topics in data visualization, such as creating animations, network visualizations, and geographical visualizations. It will also provide examples of how to combine different types of visualizations to create powerful data stories. • Best Practices for Data Visualization: This unit will cover best practices for creating effective data visualizations, including how to choose the right type of visualization for your data, how to design visualizations for maximum impact, and how to avoid common pitfalls. • Real-World Examples: This unit will provide real-world examples of how D3.js has been used for data visualization in various industries, including healthcare, finance, and journalism. It will also provide insights into the design process behind each visualization. • Troubleshooting and Debugging: This unit will cover common issues that may arise when working with D3.js and provide tips on how to troubleshoot and debug them. It will also provide resources for further learning and support.

경력 경로

This section showcases a 3D pie chart using Google Charts for Certificate D3.js: Data Visualization for Non-Programmers, featuring relevant statistics for data professionals in the UK. The chart represents job market trends, highlighting the percentage of each role in the data field. The chart has a transparent background and no added background color, making it suitable for any website. With the width set to 100%, it adapts to all screen sizes. In this 3D pie chart, you can find the following roles with their respective percentages: 1. Data Scientist: 25% 2. Data Analyst: 20% 3. Data Engineer: 15% 4. BI Analyst: 10% 5. Data Visualization Specialist: 10% 6. Database Administrator: 10% 7. Data Journalist: 10% Each slice in the chart has a specific color, making it easy to distinguish one role from another. The pie chart is created using the google.visualization.arrayToDataTable method, and the is3D option is set to true to enable the 3D effect. The chart library is loaded with the correct script URL, and the chart is rendered within the provided
element.

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샘플 인증서 배경
CERTIFICATE D3.JS: DATA VISUALIZATION FOR NON-PROGRAMMERS
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학습자 이름
에서 프로그램을 완료한 사람
London School of International Business (LSIB)
수여일
05 May 2025
블록체인 ID: s-1-a-2-m-3-p-4-l-5-e
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