Advanced Certificate D3.js: Visual Data Storytelling
-- ViewingNowThe Advanced Certificate in D3.js: Visual Data Storytelling is a valuable course that empowers learners with the skills to present complex data sets in an engaging and informative way.
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โข D3.js Fundamentals & Data Binding: In this unit, students will learn about the basics of D3.js, data binding, and how to create simple data visualizations.<br> โข Data Manipulation & Scales: This unit will cover data manipulation techniques using D3.js, as well as the creation and use of scales for data visualization.<br> โข Visual Encoding & Chart Types: Students will learn about visual encoding principles and how to create different types of charts, such as bar charts, line charts, and scatterplots.<br> โข Interactivity & Animation: In this unit, students will explore how to add interactivity and animation to their D3.js visualizations.<br> โข Data Storytelling & Visual Design: This unit will focus on the principles of data storytelling and visual design, including color theory, typography, and layout.<br> โข Advanced Techniques & Best Practices: Students will learn about advanced D3.js techniques, such as network visualization, geographic mapping, and large data sets, as well as best practices for data visualization.<br> โข D3.js Libraries & Plugins: This unit will cover popular D3.js libraries and plugins, such as NVD3, Crossfilter, and D3-tip, and how to use them in data visualization projects.<br> โข Data Journalism & News Applications: Students will learn about the role of data visualization in data journalism and news applications, and how to create effective and engaging news visualizations.<br> โข Data Visualization for Business & Marketing: In this unit, students will explore how to use D3.js for business and marketing applications, including dashboards, infographics, and presentations.<br> โข Final Project: Students will apply the skills and concepts learned throughout the course to create a final project, which will demonstrate their mastery of D3.js and data visualization best practices.
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