Data Storytelling with Intituiative Visualization

Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.
Students of this class may have opportunity to be considered for Internship with Big Data Trunk.
This course is designed to help you understand best practices for data visualization and storytelling, even without prior experience. Learn tips to engage your audience to help them remember the key points of your data.
Audience:

• Professionals who have an audience who would benefit from insightful data communication
• Professionals who want to. create impactful storytelling with data visualization

Human brains are wired to remember stories. But real decision-making is spurred by emotion of story combined with the logic of data, influenced by visuals. This highly-interactive course will show you how to turn insights, data and recommendations into an audience-centric visual narrative.
You will use Microsoft Excel to create effective visualization of common data analysis. This course culminates in a project in which you will use sample data to create visualizations and storyboards to prepare a presentation to a fictional audience.
Learning Objectives
After this course, you will have the opportunity to develop these skills:

• Elevate the meaning behind your data
• Transform your messages into impactful data stories that resonate with your audience
• Describe data visualization best practices
• Understand an easy-to-apply framework for building audience excitement about your data

Topic Outline
Crafting the Story

• Understanding your data
• Understanding your audience
• Exploratory vs. explanatory analysis
• Sketching your ideas and stories
• Questions to ask -- What makes a good data visualization?

Information Hierarchy

• Focusing on an audience on what's most important and only revealing details as needed
• Explore - Visual exploration
• Explore - Indexes and ratios
• Convert - Grouping
• Convert - Aggregating
• Convert - Data formats

Visual Display

• Position, size, color, contrast and shape
• Typography and iconography
• Basic charts and alternative charts
• Hierarchical data
• Legends and sources
• Watch out - Cognitive overload (Eliminating distractions)
• Watch out - Signaling where to look
• Watch out - Lack of visual order

Interactivity

• Why interactive experience? (vs. static experience)
• When and where to go interactive
• Think interactively to provide productive experiences
• The right technology for your needs

Storytelling

• Defining your narrative
• Keeping audience's attention, and making everything relatable

Prerequisites
Working knowledge of Microsoft Excel

Date & Time:

• Tue Aug 5, 9:00 am to 12:00 pm
• Wed Aug 6, 9:00 am to 12:00 pm