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Data Science: Data Storytelling and Presentation Skills

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Data Science: Data Storytelling and Presentation Skills

Included with

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

Assessments

6 assignments

Taught in English
Prepare for a degree

There are 2 modules in this course

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.

What's included

15 readings3 assignments

15 readings•Total 179 minutes
  • About this course•10 minutes
  • How to study on this course•10 minutes
  • Short course author•10 minutes
  • 1.1 Lesson 1 overview•1 minute
  • 1.2 Exploratory vs explanatory data visualisation•15 minutes
  • 1.4 Best practice and how to achieve it•15 minutes
  • 1.6 Next steps•2 minutes
  • 2.1 Lesson 2 overview •2 minutes
  • 2.2 Creating a successful presentation •4 minutes
  • 2.3 Selecting content and planning•10 minutes
  • 2.4 Slides and presentation aids•30 minutes
  • 2.6 Activity: Improving a slide•45 minutes
  • 2.7 Considering the audience: Approaches for differentiating between groups•10 minutes
  • Take your data science skills further•10 minutes
  • 2.8 Next steps•5 minutes
3 assignments•Total 50 minutes
  • 1.3 Goals of explanatory data visualisation•15 minutes
  • 1.5 Improve these worked examples•20 minutes
  • 2.5 Multiple-choice questions: Identifying issues with slides•15 minutes

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. 

What's included

11 readings3 assignments1 discussion prompt

11 readings•Total 204 minutes
  • 3.1 Overview of Lesson 3•2 minutes
  • 3.2 Scientific writing•20 minutes
  • 3.3 Descriptive vs critical writing•10 minutes
  • 3.6 Plagiarism•10 minutes
  • 3.7 Next steps•5 minutes
  • 4.1 Overview of lesson 4•5 minutes
  • 4.2 Introduction and policy documents•15 minutes
  • 4.5 Next steps•5 minutes
  • 4.6 Presenting data in practise: Reflective assignment•120 minutes
  • Take your data science learning further•2 minutes
  • Course Summary•10 minutes
3 assignments•Total 50 minutes
  • 3.4 Scientific writing: Review•10 minutes
  • 3.5 LaTeX in R Markdown: Review•30 minutes
  • 4.3 The basics of using Generative AI•10 minutes
1 discussion prompt•Total 10 minutes
  • 4.4 Generative AI•10 minutes

Prepare for a degree

Taking this course by University of Leeds may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Instructor

University of Leeds
2 Courses•445 learners

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Frequently asked questions

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Financial aid available,