Data Storytelling With Intuitive Visualization

Data Storytelling With Intuitive Visualization

This course is provided by Big Data Trunk Training Program but a limited few seats available to the public.

By Big Data Trunk

Date and time

May 15 · 9am - May 16 · 12pm PDT

Location

Online

Refund Policy

Contact the organizer to request a refund.
Eventbrite's fee is nonrefundable.

About this event

  • 1 day 3 hours

May 15 &16, 2024
2-Half Days (9:00 a.m to 12:00 p.m PST)

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 a 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

Organized by

Big Data Trunk is all about Big data and Hadoop providing training, placement and job/project assistance on Big data.