Slide Storytelling for Data Scientists
Transform complex analytical findings into crystal-clear, persuasive narratives using advanced PowerPoint techniques and visualization strategies. Influence decisions, not just inform.
What you’ll be able to do
- Develop a structured approach to building data-driven narratives for presentations.
- Design visually impactful and clutter-free slides that enhance data comprehension.
- Craft compelling introductions, body, and conclusions for data science presentations.
- Utilize advanced PowerPoint features for dynamic data visualization and storytelling.
- Tailor data presentations for different audiences, from technical to executive.
- Master techniques for delivering data stories with confidence and persuasive power.
- Transform raw analytical output into actionable business recommendations through slides.
Inside this course
3 sections · 13 activities · 4 hours total length
01Module 1: Foundations of Data Storytelling for Impact
- Why Storytelling Matters: Beyond the Numbers15:00
- The Data Story Arc: Structure and Flow20:00
- Identifying Your Audience and Their Needs15:00
- Exercise: Deconstructing a Data Story16:00
02Module 2: Visualizing Data for Narrative Power
- Chart Selection for Storytelling: Beyond Defaults20:00
- Principles of Effective Slide Design: Clarity and Impact25:00
- Advanced PowerPoint for Data Scientists: Tips & Tricks20:00
- Hands-on Lab: Redesigning a 'Bad' Data Slide25:00
03Module 3: Crafting the Compelling Data Presentation
- The Art of the Data-Driven Introduction18:00
- Developing Your Core Narrative Slides22:00
- Actionable Conclusions and Recommendations20:00
- Designing for Different Audiences: Technical vs. Executive15:00
- Project: Building Your Data Story Deck15:00
About this course
Transform your data insights into compelling narratives. This advanced course equips data scientists with the storytelling mastery needed to influence decisions and drive action through powerful slide presentations.
Who this is for
- Data Scientists looking to enhance their communication and presentation skills.
- Data Analysts who need to translate complex findings into clear business insights.
- Machine Learning Engineers presenting model performance and impact.
- Business Intelligence Professionals seeking to create more persuasive reports and dashboards.
- Anyone in a data-centric role who regularly presents findings to non-technical stakeholders.
Before you begin
- Basic understanding of data science concepts and terminology.
- Familiarity with data analysis and visualization tools (e.g., Python/R, Tableau, Power BI).
- Access to Microsoft PowerPoint (or similar presentation software).
- A desire to improve communication skills and influence decisions with data.
Learner ratings
4.7 / 5 · Average learner rating
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How will I learn?
Work through the course sections and activities in your Onlearn course player, at your own pace. Your progress is saved to your account.
Is this a subscription?
No. Each course is purchased separately with one payment.