Data Science: Data Storytelling and Presentation Skills

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Data Science: Data Storytelling and Presentation Skills

Instructor: Jennifer Sexton

Included with Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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

Skills you'll gain

Details to know

Assessments

6 assignments

Taught in English

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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 readingsTotal 179 minutes

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

3 assignmentsTotal 50 minutes

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