Data Science: Data Storytelling and Presentation Skills

Data Science: Data Storytelling and Presentation Skills

位教师：Jennifer Sexton

访问权限由 Coursera Learning Team 提供

2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

8 小时完成

灵活的计划

自行安排学习进度

2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

8 小时完成

灵活的计划

自行安排学习进度

您将学到什么

How to review and improve data visualisations
How to design clear and concise presentation slides & communicate research findings effectively
How to write consistent and well-structured research report
The key skills and competencies of data science professionals

您将获得的技能

要了解的详细信息

作业

6 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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

该课程共有2个模块

This course helps you build the core communication skills needed in data science. You’ll learn how to review and improve data visualisations, design clear and concise presentation slides, and present insights in a way that is accurate and engaging.

You will explore key principles of scientific writing and practise discussing research findings with clarity and consistency. The course also introduces the skills and competencies expected of data science professionals, helping you understand how to communicate technical work to different audiences. By the end, you’ll be able to create stronger visuals, structure research reports effectively, and share your data stories with confidence.

In Week 1 of this short course, we will explore how presentation and verbal communication skills are vital for data scientists as they ensure clear articulation of project goals, progress and challenges.

涵盖的内容

15篇阅读材料3个作业

15篇阅读材料总计179分钟

About this course 10分钟
How to study on this course 10分钟
Short course author 10分钟
1.1 Lesson 1 overview 1分钟
1.2 Exploratory vs explanatory data visualisation 15分钟
1.4 Best practice and how to achieve it 15分钟
1.6 Next steps 2分钟
2.1 Lesson 2 overview 2分钟
2.2 Creating a successful presentation 4分钟
2.3 Selecting content and planning 10分钟
2.4 Slides and presentation aids 30分钟
2.6 Activity: Improving a slide 45分钟
2.7 Considering the audience: Approaches for differentiating between groups 10分钟
Take your data science skills further 10分钟
2.8 Next steps 5分钟

3个作业总计50分钟

1.3 Goals of explanatory data visualisation 15分钟
1.5 Improve these worked examples 20分钟
2.5 Multiple-choice questions: Identifying issues with slides 15分钟

This week addresses the topic of academic integrity, defines plagiarism and discusses when and how Generative AI can be used as a tool to support rather than replace critical analysis. 