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所在平台: Udemy |
课程主页: https://www.udemy.com/course/principles-of-beautiful-data-visualization/
课程评论：没有评论
**课程名称：** 美丽数据可视化原理 (2022) **课程概述：** 本课程旨在将您对图表、图示和图形的理解提升到一个新的高度。无论您是否已有数据可视化基础，都能从本课程中获益。虽然本课程使用 Python 语言进行数据可视化实践，但课程教授的原理同样适用于任何其他工具或编程语言。 **核心收获：** * **实现数据可视化的核心目标：** 清晰有效地向读者传达数据或信息。 * **掌握数据可视化的“道”与“术”：** 学习各种数据可视化中的注意事项、色彩选择和图表动画技巧，这些技巧不受编程语言或可视化工具的限制。 * **可视化不同类型的数据：** 学习如何可视化数量、分布、比例、关联和时间序列数据。 * **像专家一样进行数据可视化：** 提升您的数据可视化技能，使其更具专业性和吸引力。 * **运用多种 Python 可视化库：** 掌握 Plotly、Seaborn 和 Matplotlib 三种主流的 Python 绘图库。 * **产出可用于多场景的可视化作品：** 运用所学知识创建适用于印刷媒体、报告和社交媒体的美丽数据可视化图表。 * **掌握视觉叙事：** 使用数据支持信息，并通过可视化手段讲述引人入胜的故事。 * **识别趋势并使数据易于理解：** 通过可视化将复杂的数据变得生动有趣，易于消化。 * **触动情感：** 运用各种图表和图示，通过数据可视化引发观者的情感共鸣。
This course will enhance a student's understanding of charts, plots and graphs and bring it to a whole new level. Whether a student already knows something about Data Visualizations or not, they will definitely take something away after completing this course.Although this course uses the Python Programming Language to create data visualizations, any other tool or programming language could be used to apply the principles that have been taught in this course.- Achieve the main goal of data visualization which is to communicate data or information clearly and effectively to readers.- Learn various do's and don'ts of data visualizations, color scales and plot animation regardless of programming language or visualization tool.- Visualize amounts, distributions, proportions, associations and time-series data.- Learn how to visualize data like a pro.- Make use of 3 different Python plotting libraries including Plotly, Seaborn, Matplotlib.- Make use of your learnings to create beautiful data visualizations that could be used in print media, reports and social media.- Master visual storytelling to communicate a message supported by the data.- Identify trends and make data engaging and easily digestible- Evoke an emotional response from whoever takes a look at your data visualized through various types of charts and plots.
