Instructor-led 4-days

Course Description:

This intensive 4-Day bootcamp is designed to empower data professionals, analysts, and business users with the skills to communicate data insights effectively through visual storytelling. Participants will learn the art and science of data visualization using industry-leading tools such as Microsoft Power BI, Tableau, and Python (Matplotlib, Seaborn, Plotly).

The course emphasizes real-world, hands-on labs to create dashboards, infographics, and interactive visualizations that translate complex data into actionable insights. Attendees will leave the course with a portfolio of practical projects and a deep understanding of visualization best practices for both technical and non-technical audiences.

Prerequisites:

• Basic understanding of data analytics concepts
• Familiarity with Excel or basic BI tools
• Some experience with Python and SQL is helpful (not required)
• No design experience needed

Key Takeaways:

• Understand principles of effective data visualization and storytelling
• Create compelling visual dashboards using Power BI and Tableau
• Build custom data visuals using Python libraries (Seaborn, Plotly)
• Apply design thinking to enhance data communication
• Understand cognitive and perceptual aspects of dashboard design
• Develop visualizations for different audiences (technical vs executive)
• Gain practical experience with data prep, transformation, and charting

Module 1: Fundamentals of Data Visualization & Design

Topics:

• Why Visualization Matters: Storytelling with Data
• Types of Data Visualizations & Their Use Cases
• Design Principles: Gestalt Laws, Color Theory, Data-Ink Ratio
• Introduction to Visualization Tools: Power BI, Tableau, Python

Hands-On Labs:

• Lab 1: Analyze and visualize Excel datasets using Power BI
• Lab 2: Redesign a misleading or cluttered chart using best practices

🟨 Module 2: Dashboarding with Power BI and Tableau

Topics:

• Data Preparation and Transformation
• Building Interactive Dashboards in Power BI
• Creating Calculated Fields and DAX Basics
• Tableau Visual Analytics: Filters, Parameters, Actions

Hands-On Labs:

• Lab 3: Build a sales performance dashboard in Power BI using a real dataset
• Lab 4: Create a Tableau dashboard with user filters and dynamic charts

🟩 Module 3: Advanced Visualizations with Python

Topics:

• Matplotlib and Seaborn for Static Visuals
• Plotly and Dash for Interactive Charts
• Designing Visuals for Exploratory vs. Explanatory Analysis
• Integrating Data Sources and APIs

Hands-On Labs:

• Lab 5: Use Seaborn to explore a dataset with multivariate relationships
• Lab 6: Build an interactive dashboard with Plotly/Dash

🟥 Module 4: Visual Storytelling, Publishing & Capstone Project

Topics:

• Telling Data Stories with Impact
• Custom Visual Themes and Branding
• Sharing and Publishing Dashboards (Web, PDF, Cloud)
• Data Ethics and Misleading Visuals

Hands-On Labs:

• Lab 7: Final Project – Build a complete end-to-end data story using the tool of your choice
• Lab 8: Peer Review & Presentation – Get feedback and refine visualizations