Data Storytelling for Data Professionals: Craft Impactful Narratives with Data Visualization & Storytelling Frameworks

KultureHire, Kadhiravan Jayachandiran

$29.99

Video Jul 2025 2hrs 3mins 1st Edition

KultureHire, Kadhiravan Jayachandiran

$29.99

Video Jul 2025 2hrs 3mins 1st Edition

What do you get with a video?

Download this video in MP4 format

DRM FREE - Read whenever, wherever and however you want

Key benefits

In-depth exploration of data storytelling techniques for creating engaging narratives with data
A focus on visual design principles to craft charts and graphs that simplify complex data
Structured frameworks to guide the creation of clear, impactful, and audience-tailored stories

Description

In a world saturated with data, the ability to tell a story through numbers is what distinguishes a true data professional. This course opens with a foundational understanding of data storytelling—its history, evolution, and importance in business contexts. Through real-world examples, learners will see how impactful stories can be built from datasets to influence decision-making and engage stakeholders. The journey continues with a deeper dive into the mechanics of storytelling. Learners will explore the psychological and strategic elements that make data stories resonate. Key aspects such as visualizations, narrative arcs, emotional appeal, and the use of analogies will be explored to help participants construct stories that not only inform but inspire action. Special emphasis is given to audience-centric storytelling and ensuring ethical data communication throughout. As the course culminates, learners will apply comprehensive storytelling frameworks including the 5-Step Data Storytelling Framework, the Data-Driven Framework, and the Storycircle method. These structured approaches help ensure clarity, consistency, and impact. By the end, participants will be confident in crafting data narratives that are visually appealing, contextually grounded, and strategically effective.

Who is this book for?

Designed for data analysts, business intelligence professionals, product managers, and anyone working with data who seeks to communicate more effectively. A foundational understanding of data and basic visualization tools (Excel, Tableau, or Python libraries) is recommended.