Exclusive Hands-On Guide to Crafting Compelling Data Stories

Virtual Classroom Live

Storytelling In Data

This course offers a practical exploration of Data Visualization, teaching you what it is, various chart types, and how to select appropriate visualizations for different data scenarios. You'll also be introduced to essential Generative AI tools for modern data visualization. By the end of this course, you'll have the skills to craft compelling data stories and proactively address potential audience barriers. 

Familiarity with data visualization tools (e.g., Tableau or PowerBI) required

Basic understanding of data visualization principles  required

We’ve teamed up with Global Knowledge (GK)—a worldwide leader in professional IT training and certifications and part of the Skillsoft family to bring you targeted, high-impact, industry-relevant courses to help you advance your skills and achieve your career goals.

While you'll enroll and check out through Codecademy, your course experience—including instruction, materials, and support—will be delivered by Global Knowledge. Global Knowledge offers courses designed to help you sharpen your skills, boost your credentials, and move your career forward.

Are you aiming to sharpen your storytelling skills?

Ideal for professionals wanting to craft clear, compelling data stories using both traditional and AI-powered visualization tools.

Do you want to strengthen your data-driven arguments?

Perfect for those who want to integrate generative AI tools with solid visualization techniques to communicate insights effectively.

Are you in combining data, text, and visuals for greater impact?

Designed for anyone eager to learn how to tailor data stories, anticipate audience barriers, and present information ethically and accessibly.

Explore cutting-edge AI tools that enhance and automate your data visualization process.

Apply core design principles to make your data visuals clear, engaging, and easy to understand.

Learn how to choose the right charts to clearly and effectively present your data.

Discover how to select meaningful colors that improve comprehension and ensure inclusivity.

Assess and maintain data accuracy throughout collection, cleaning, and presentation stages.

Identify common pitfalls in data visualization and learn how to present honest, trustworthy data.

Craft compelling narratives that are both convincing and rooted in truthful data representation.

Adapt your data storytelling approach to meet the needs and expectations of diverse viewers.

Anticipate challenges your audience might face and design visuals that reduce friction.

Promote ethical storytelling practices that build trust and respect with your audience.

Key concepts

1

Fundamentals of Data Visualization

2

Using Generative AI for Data Visualization

3

Visual Design & Ensuring Accessibility

4

Maintaining Data Quality

5

Audience-Focused Data Stories

Storytelling In Data

1

What is Data Visualization? 

2

Chart Types and Selection 

3

Generative AI Tools in Visualization 

1

Fundamental Visual Design Elements 

2

Limitations of Generative AI in Design 

3

Grouping and Highlighting Data Effectively 

4

Analyzing Misleading Visualizations 

1

Data Quality: Collection, Cleaning, Compiling 

2

Accuracy in Scale and Context 

3

Avoiding Statistical Misrepresentation 

1

Key Elements of Effective Data Storytelling 

2

Anticipating Audience Barriers 

3

Tailoring Data Stories to Audience Needs 

4

Structuring Your Data Narrative 

5

Ethical Data Storytelling Practices 

6

Reducing Audience Friction