Storytelling through Data Masterclass

4.6 (4)

·

4 Weeks

·

Cohort-based Course

Data is everywhere, but turning it into a compelling story is an art

Course overview

Learn to blend data, design, and storytelling to create a bigger impact.

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 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.

Who is this course for

01

UX designers & researchers who want to learn how to level up data visualization skills and tell more powerful stories.

02

UX Adjacent fields. People (like product owners or product managers) who want to improve their storytelling and data visualization skills.

03

Career switchers who want to become more confident in their abilities to tell stories integrated with data.

What you’ll get out of this course

Understand the intersection of data, design, and storytelling in UX.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Improve data analysis and visualization skills through practical exercises and course material.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Develop strong storytelling skills targeted towards stakeholders and the core audience demographic.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Present data-driven narratives effectively, demonstrating the ability to communicate insights in a clear and engaging manner.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

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 (UX) storytelling needs.

Understand the ethical implications of data collection and analysis procedures and representation of findings.

What’s included

Brooklyn Witteman

Live sessions

Learn directly from Brooklyn Witteman in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

6 live sessions • 26 lessons • 6 projects

Week 1

Oct 14—Oct 20

    Oct

    15

    Welcome to Class + Storytelling Lecture

    Tue 10/1511:00 PM—12:00 AM (UTC)
    Optional

    Intro to Final Project

    2 items

    Foundations of Storytelling and Why it Matters in UX

    4 items

    Foundations of Data Collection in UX

    4 items

    Ethics in Data

    1 item

    Oct

    17

    Working Session 1

    Thu 10/1711:00 PM—12:00 AM (UTC)
    Optional

    Academic Research Sources Spreadsheet

    1 item

Week 2

Oct 21—Oct 27

    Oct

    22

    Data Visualization & Crafting a Narrative Lecture

    Tue 10/2211:00 PM—12:00 AM (UTC)
    Optional

    Foundations of Data Visualization

    1 item

    Data & Design Tools Spreadsheet

    2 items

    Crafting a Narrative with Data

    3 items

    Oct

    24

    Working Session 2

    Thu 10/2411:00 PM—12:00 AM (UTC)
    Optional

Week 3

Oct 28—Nov 3

    Work on Final Projects

    1 item

    Oct

    29

    Lecture: Tools, Techniques, and Examples + Working Session 3

    Tue 10/2911:00 PM—12:30 AM (UTC)
    Optional

    Data + Design Tools, Techniques, & Examples

    3 items

    Applying Design & UI Principles to Data Visualization

    4 items

    Infographic Design Tools & Tutorial Videos

    1 item

    Create a style guide for your visualization

    3 items

Week 4

Nov 4—Nov 5

    Submit Final Projects

    2 items

    Nov

    6

    Share Final Projects + Discussion

    Wed 11/612:00 AM—1:30 AM (UTC)
    Optional

4.6 (4 ratings)

What students are saying

Meet your instructor

Brooklyn Witteman

Brooklyn Witteman

Brooklyn is a UX/UI designer and researcher currently working at, Rain Local, a company focusing on digital advertising in the banking sector. She also freelances as a graphic designer and web designer.


Brooklyn also co-runs a Meetup in the Portland, Oregon area called Rose City Techies (RCT). RCT focuses on bringing together the local tech community through education and networking style events.

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Storytelling through Data Masterclass

Course schedule

4-6 hours per week

  • Tuesdays & Thursdays

    1:00pm - 2:00pm EST

    If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

  • May 7, 2022

    Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

  • Weekly projects

    2 hours per week

    Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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Storytelling through Data Masterclass