DATA ZERO TO HERO (DATA STORYTELLING)

COURSE DESCRIPTION:

With the advent of Industry 4.0 and 5.0 and the rapid increase and the ease of collecting big data. Leaders and managers are faced with the challenge of analyzing, interpreting and presenting data to their targeted audience. This comprehensive training program is designed as an introductory and intermediate course to equip professionals with the essential skills in data analytics, visualization, and storytelling. Through a blend of theoretical knowledge and practical application, participants
will learn to analyze data effectively, create compelling visualizations, and communicate insights in a way that drives impactful decision-making.

OBJECTIVES:

● Learn the structured 5 step process framework for Data Analytics, Visualization and Storytelling
● Understand the fundamentals of data analytics and its significance in business decision-making.
● Learn various data visualization techniques and tools to present data effectively.
● Develop storytelling skills to communicate data insights compellingly and persuasively.
● Gain practical hands-on experience and learning with case studies, group activities and workshops

TARGET AUDIENCE:

● Business Owners and CEO’s
● Team Leaders& Managers
● Business & Data Analysts
● Marketing & Advertising Professionals
● Project Managers
● Anyone interested in improving their data analytics and storytelling skills

PREREQUISITES:

● Participants should at least have a basic knowledge and usage of Microsoft Excel and PowerPoint.

COURSE OUTLINE:

Module 1: Introduction Data Storytelling
● What is Data Storytelling
● Data Storytelling Trinity

Module 2: Overview of Data Storytelling Process Framework
1. Identify the Question and the Goal
● Determine business objectives
● Assess the situation
● Create project plan and team
● Identifying types of data
● Basic Statistics (Mean, Median, Standard deviation, etc.)

2. Collecting and Preparing Data
● Cause Brainstorming
● Y=f(x) framework
● Creating a data collection plan
● Data Cleaning and Types of Dirty data

3. Analyze the Data
● Levels of Analytics
● Exploratory Data Analysis
● Intro to Pivot Table and Charts
● Data Stratification/Segmentation
● 5 Why/Root Cause Analysis

4. Visualize the Data
● Brief history of Data Visualization
● Data Visualization Methods
● Erwin’s Rule of three in Data Viz
● Visual Tools/Graphs for Displaying data
● Ranking of Visual Perception
● How to not lie with data

5. Present and Communicate Results
● Cognitive Load
● Tufte Data-to-link Ration
● Chart Junk
● Visual Perception
● Gestalt Laws of Visual Perception
● Visual Cues
● Psychology and use of Color
● Use of text for Narrative
● Create the context and tell the story
● Putting it all together

6. Creating Dashboards in Excel using Pivot

For FULL COURSE OUTLINE, please contact us. Please contact us for the schedules and for booking a private class

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