Data Science
Beginner
Visual Storytelling with Data
Make charts that help people understand what the data says.
Course Overview
Choose visual encodings, remove distracting decoration, and write a clear narrative around evidence. The course uses before-and-after critiques to build a stronger visual editing instinct.
What You Will Learn
Master core concepts and practical workflows in Visual Storytelling with Data
Apply industry best practices to build production-ready Data Science solutions
Utilize modern tools including data visualization, storytelling, charts effectively
Diagnose common execution failures, performance bottlenecks, and edge cases
Establish repeatable engineering habits for continuous improvement
Tools & Technologies Used
Data Visualization
Storytelling
Charts
Communication
Python 3.11
VS Code
Structured Curriculum
2 Modules · 6 Lessons · 115 Minutes Total
Module 1
Module 1: Fundamentals of Visual Storytelling with Data
3 lessons
Module 1: Fundamentals of Visual Storytelling with Data
Explore core principles, setup, and foundational concepts of Visual Storytelling with Data.
-
Introduction to Visual Storytelling with Data Principles
Deconstruct core building blocks and architecture of Visual Storytelling with Data.
-
Core Workflows with Data Visualization
Hands-on demonstration of primary tools and API patterns.
-
Practical Implementation & Configuration
Build your first working module with error validation.
Module 2
Module 2: Advanced Patterns & Real-World Application
3 lessons
Module 2: Advanced Patterns & Real-World Application
Master practical engineering patterns and deploy resilient Data Science projects.
-
Handling Edge Cases & Error Boundaries
Implement defensive programming and robust exception management.
-
Performance Optimization & Benchmarking
Benchmark performance, identify bottlenecks, and apply efficiency gains.
-
Production Integration & Review
Assemble the final project, run test suites, and review deployment steps.
Practical Project & Capstone Outcome
🚀 Capstone Project
Production Visual Storytelling with Data Capstone Project
Build and test a complete, real-world application demonstrating all core skills learned in Visual Storytelling with Data, featuring comprehensive tests and documentation.
Prerequisites
- Basic familiarity with Data Science concepts
- A working computer with command-line terminal access
Intended Audience
- Practitioners wanting to build expertise in Visual Storytelling with Data
- Engineers and Analysts working with Data Science tools
Instructor Information
B
Bea Okafor
Course Author & Industry Expert
Bea Okafor is a seasoned industry professional with over 8 years of hands-on experience in Data Science and technical education.
Frequently Asked Questions
What background knowledge is required for Visual Storytelling with Data?
A foundational understanding of Data Science is helpful, but all key concepts are explained step-by-step.
Is source code provided for all exercises?
Yes! All lessons include repository code samples and step-by-step solution guides.