Storytelling through Data Masterclass (October 2024)
2024
Taught by
Brooklyn Witteman
Costs
$50.00 USD
Starts
Oct 14, 2024
Ends
Nov 5, 2024
Categories
Data is everywhere, but turning it into a compelling story is an art.
Learn how to blend data, design, and storytelling to create a bigger impact with stakeholders in presentations, UX design case studies, reports, and beyond. This UX-oriented course equips you with the tools and techniques to transform bland data into visually engaging narratives.
The good news is you do not need to be an Excel wizard or expert in data analytics to take this course. We will use data that is not overly complex, as the goal is to understand various types of data visualizations and how to apply storytelling. We will primarily focus on quantitative storytelling but also learn about how to effectively showcase qualitative data.
You'll gain hands-on experience through real-world examples, videos, tools, readings, and a final project where you'll apply your new skills to either real data or an example data.
From knowing your audience to writing a captivating narrative to ethical considerations, this course prepares you to craft compelling stories that are grounded in data. By the end of this masterclass, you'll be able to confidently communicate data insights with powerful, visual stories.
Understand the intersection of data, design, and storytelling in UX.
Improve data analysis and visualization skills through practical exercises and course material.
Develop strong storytelling skills targeted towards stakeholders and the core audience demographic.
Present data-driven narratives effectively, demonstrating the ability to communicate insights in a clear and engaging manner.
Utilize color theory, typography, layout, and design principles to create effective data visualizations.
Evaluate and select appropriate data visualization tools for different types of data and storytelling needs.
Apply critical thinking and problem-solving skills in a final project.
Understand the ethical implications of data collection and analysis procedures and representation of findings.
