Smart Dashboard using Data Visualization Tools

The objective of this program is to enable participants to design, build, and publish interactive and visually compelling dashboards using modern data visualization tools. The course focuses on transforming raw data into meaningful insights through effective charts, storytelling techniques, and dynamic features. Participants will learn industry-standard tools such as Power BI, Tableau, or Google Data Studio, and understand how to create dashboards that support decision-making.

Category: Analytics

Description

1. Learning Outcomes

Understand core principles of data visualization, design best practices, and storytelling.
Build interactive dashboards using tools like Power BI, Tableau, or Google Data Studio.
Use advanced features such as drill-downs, slicers, filters, and dynamic visuals.
Apply DAX, calculated fields, or formulas for custom metrics.
Connect dashboards to various data sources and automate data refresh.
Design clean, intuitive dashboards that communicate insights effectively.

3. Program Highlights & Key Features

Hands-on exercises using real business datasets.
Practical training on visualization techniques, chart selection, and layout design.
Sessions on building interactive and mobile-friendly dashboards.
Expert guidance on best practices for KPI presentation and storytelling.
Coverage of dashboard deployment, sharing options, and performance optimization.

Module 1: Introduction to Data Visualization and Dashboards
Module 2: Data Preparation for Dashboards
Module 3: Dashboard Design and Visualization Principles
Module 4: Building Smart Dashboards
Module 5: Business Reporting and Decision-Making

Introduction to Data Visualization and Dashboards

What is Data Visualization
What is a Smart Dashboard
Role of Dashboards in Data Analytics
Types of Dashboards
Importance of Visualization in Decision-Making
Use Cases of Business Dashboards
Tools Used for Data Visualization
Conclusion and QnA

Data Preparation for Dashboards

Understanding Data for Visualization
Data Sources for Dashboards
Data Cleaning and Transformation
Data Modeling Basics
Handling Date, Time, and Categorical Data
Data Quality Issues
Conclusion and QnA

Dashboard Design and Visualization Principles

Principles of Effective Data Visualization
Choosing the Right Chart
Color, Layout, and Visual Hierarchy
KPI Selection and Placement
Avoiding Common Visualization Mistakes
Designing User-Friendly Dashboards
Conclusion and QnA

Building Smart Dashboards

Creating Interactive Dashboards
Filters, Slicers, and Drill-Downs
KPI Cards and Summary Views
Trend and Comparison Visuals
Dashboard Performance Optimization
Real-Life Business Dashboard Examples
Conclusion and QnA

Business Reporting and Decision-Making

Interpreting Dashboard Insights
Storytelling Using Dashboards
Dashboards for Different Business Roles
Sharing and Publishing Dashboards
Data Security and Access Control
Limitations of Dashboards
Future Scope of Smart Dashboards
Conclusion and QnA

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