Course
Data Communication Concepts
BasicSkill Level
Updated 05/2026
TheoryData Literacy3 hr16 videos50 Exercises3,750 XP79,750Statement of Accomplishment
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Learn the Basics of Data Communication
You’ve analyzed your data, run your model, and made your predictions. Now, it's time to bring your data to life! Presenting findings to stakeholders so they can make data-driven decisions is an essential skill for all data scientists. In this course, you’ll learn how to use storytelling to connect with your audience and help them understand the content of your presentation—so they can make the right decisions.
Explore Formats of Data Communication
Through hands-on exercises, you’ll learn the advantages and disadvantages of oral and written formats. You’ll also improve how you translate technical results into compelling stories, using the correct data, visualizations, and in-person presentation techniques. Start learning and improve your data storytelling today.
What you'll learn
- Identify the essential components of effective data storytelling, including central insights, narrative sequencing, and visual elements.
- Recognize techniques for translating technical findings into audience-appropriate insights by minimizing jargon, emphasizing impact, and tailoring messages to stakeholder needs.
- Differentiate appropriate data, statistics, and visualization choices for various personas and communication contexts.
- Assess the suitability of written and oral communication formats, including report types, slide structures, and presentation strategies for conveying data-driven conclusions.
- Evaluate common communication pitfalls such as information overload, unclear wording, or ineffective delivery when presenting data to decision-makers.
Feels like what you want to learn?
Start Course for FreePrerequisites
Understanding Data ScienceUnderstanding Data Visualization1
Storytelling with Data
Let's start with the importance of data storytelling and the elements you need to tell stories with data. You'll learn best practices to influence how decisions are made before learning how to translate technical results into stories for non-technical stakeholders.
2
Preparing to Communicate the Data
Deepen your storytelling knowledge. Learn how to avoid common mistakes when telling stories with data by tailoring your presentations to your audience. Then learn best practices for including visualizations and choosing between oral or written formats to make sure your presentations pack a punch!
3
Structuring Written Reports
Now that you understand how to prepare for communicating findings, it’s time to learn how to structure your reports. You'll also learn the importance of reproducibility (work smarter, not harder) and how to get to the point when describing your findings. You’ll then get to apply all you’ve learned to a real-world use case as you create a compelling report on credit risk.
4
Building Compelling Oral Presentations
You'll finish by learning simple techniques to structure a presentation, communicate insights, and inspire your audience to take action. Lastly, you'll learn how to improve your communication style and prepare to handle questions from your audience.
Data Communication Concepts
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FAQs
Is this course suitable for beginners?
Yes, this course is suitable for beginners who want to learn the basics of data storytelling. It covers topics such as the importance of data storytelling, how to present data, and how to structure written and oral presentations.
Will I receive a certificate at the end of the course?
Yes, you will receive a certificate of completion when you complete the course.
Who will benefit from this course?
Data scientists, analysts, statisticians, and other professionals who work with data would benefit from this course. It teaches skills such as storytelling, report structuring, and data presentation, which are essential for data-driven decision-making.
What topics does this course cover?
This course covers topics such as the importance of data storytelling, how to present data, and how to structure written and oral presentations. It includes chapters on storytelling with data, preparing to communicate data, structuring written reports, and building compelling oral presentations.
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