Data Science: Data Storytelling and Presentation Skills

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Data Science: Data Storytelling and Presentation Skills

位教师：Jennifer Sexton

包含在中

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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

为学位做准备

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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

为学位做准备

了解更多

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

您将学习的工具

Generative AI

要了解的详细信息

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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 course10分钟
How to study on this course10分钟
Short course author10分钟
1.1 Lesson 1 overview1分钟
1.2 Exploratory vs explanatory data visualisation15分钟
1.4 Best practice and how to achieve it15分钟
1.6 Next steps2分钟
2.1 Lesson 2 overview 2分钟
2.2 Creating a successful presentation 4分钟
2.3 Selecting content and planning10分钟
2.4 Slides and presentation aids30分钟
2.6 Activity: Improving a slide45分钟
2.7 Considering the audience: Approaches for differentiating between groups10分钟
Take your data science skills further10分钟
2.8 Next steps5分钟

3个作业总计50分钟

1.3 Goals of explanatory data visualisation15分钟
1.5 Improve these worked examples20分钟
2.5 Multiple-choice questions: Identifying issues with slides15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. 

涵盖的内容

11篇阅读材料3个作业1个讨论话题

11篇阅读材料总计204分钟

3.1 Overview of Lesson 32分钟
3.2 Scientific writing20分钟
3.3 Descriptive vs critical writing10分钟
3.6 Plagiarism10分钟
3.7 Next steps5分钟
4.1 Overview of lesson 45分钟
4.2 Introduction and policy documents15分钟
4.5 Next steps5分钟
4.6 Presenting data in practise: Reflective assignment120分钟
Take your data science learning further2分钟
Course Summary10分钟

3个作业总计50分钟

3.4 Scientific writing: Review10分钟
3.5 LaTeX in R Markdown: Review30分钟
4.3 The basics of using Generative AI10分钟

1个讨论话题总计10分钟

4.4 Generative AI10分钟

为学位做准备

学习 University of Leeds 的这个课程，您可以预览相关学位课程计划中的主题、材料和授课教师，以便您确定该主题或大学是否适合您。

位教师

Jennifer Sexton

University of Leeds

2 门课程362 名学生

提供方

University of Leeds

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