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Craft Dashboards & Summaries

本课程是 Statistical Inference & Predictive Modeling Foundations 专项课程的一部分

位教师：Hurix Digital

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Data Quality First: Analytics must identify and document data issues before visualization, as insights are only as reliable as the underlying data.
Stakeholder-Driven Metrics: Dashboards should address specific decision needs by aligning analytics with business questions, not just available data.
Evidence-Based Design: Use data-ink ratio, user engagement metrics to validate visuals and iteratively improve dashboards through data-driven design.
Usage Analytics Inform Strategy: Usage data shows behavior patterns, helping remove low-value elements and strengthen high-impact dashboard visuals.

您将获得的技能

您将学习的工具

Dashboard

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Statistical Inference & Predictive Modeling Foundations 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

Ready to transform cluttered data into compelling visual stories that drive business decisions? This Short Course was created to help data analysts accomplish dashboard mastery through systematic design optimization and usage analytics.

By completing this course, you'll be able to generate publication-ready descriptive summaries, redesign dashboards for 25% improved data-ink ratios, and implement evidence-based visual improvements. You'll master the art of connecting stakeholder questions to analytical outputs while identifying and removing low-value dashboard elements. By the end of this course, you will be able to: Generate descriptive statistics with data quality flagging Evaluate metric sufficiency against business needs Apply design principles for measurable dashboard improvement Analyze usage patterns to optimize dashboard performance This course is unique because it bridges technical EDA skills with strategic visual design, combining data science rigor with user experience principles. To be successful in this project, you should have a background in basic data analysis and familiarity with visualization tools like Tableau or Python libraries.