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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-storytelling-with-qlik-sense/
课程评论：没有评论
课程名称：使用Qlik Sense进行数据讲故事 课程概述：本课程旨在通过引人入胜且实用的方式，教会学员如何将数据以逻辑性和分析性的叙述形式进行沟通和共享，使即使是非专业的利益相关者也能理解。学员将学习如何使用数据可视化，并将其转化为一个引人注目且易于视觉呈现的作品集。在了解目标受众和利益相关者的观点后，学员将构建一个叙述“故事板”，以设计自己的数据可视化项目。通过捕捉可视化的快照，收集并选择数据洞察，学员将创建自己的叙述“故事板”。课程还将指导学员如何通过添加重点和样式，使数据叙述在视觉上更具吸引力。最后，学员将探索在Qlik Sense Enterprise中以不同方式发布故事的方法，以满足组织的需求。 课程结束时，学员将对数据可视化充满信心，能够创建引人入胜和互动性强的叙述，以以一种引人注目的方式向组织的利益相关者传达数据。 作者介绍：Hajime Uchiyama是一位数据架构师、Qlik Sense开发人员和讲师。他是一名认证的Qlik Sense数据架构师，为公共部门客户参与了各种数据项目。Hajime还获得了项目管理专业人士认证，拥有超过八年的IT和数据项目管理经验。早期，他在材料工程领域担任工具研究工程师。他拥有乔治亚大学的人工智能硕士学位、北海道大学的工程硕士学位和学士学位。
This engaging and practical course will teach you how to communicate and share data in the form of a logical, analytical narrative which can be understood by even non-expert stakeholders in your organization. Use your data visualizations and convert them into a compelling and easily visualized portfolio.After defining your audience and stakeholder perspective, you will structure a narrative ‘storyboard' to design your data visualization project. Collect and select data insights for your narrative by taking snapshots of your visualizations. You will then build your own narrative ‘storyboard'. You will also learn how to make your data narrative visually compelling by adding emphasis and styling. Finally, you will look at different ways of publishing your story in Qlik Sense Enterprise, as a tool which can be utilized depending on your organizational requirements. By the end of the course, you will be confident enough about data visualization to create an engaging and interactive narrative to communicate your data in a compelling way for your organizational stakeholders.About the AuthorHajime Uchiyama is a data architect, Qlik Sense developer, and Qlik Sense instructor. He is a certified Qlik Sense Data Architect and has worked on a wide variety of data project types for clients in the public sector. Hajime is also a certified Project Management Professional and has managed IT and data projects for over eight years. Early in his career, Hajime worked in the material engineering field as a toolset research engineer. He gained a Master of Science degree in Artificial Intelligence from the University of Georgia and a Master's degree in Engineering and a BSc from Hokkaido University (Japan).
