Data Visualization
Course Description
The Data Visualization Training Program provides a comprehensive understanding of data visualization concepts, tools, and methodologies. You will learn to convert raw data into visually appealing and insightful reports using charts, graphs, heatmaps, dashboards, and interactive reports.
This course covers hands-on training with leading data visualization tools like Tableau, Power BI, Python (Matplotlib & Seaborn), and Excel, enabling you to present complex data in an easy-to-understand format for data-driven decision-making.
Why Choose Our Data Visualization Training?
Industry-Relevant Curriculum – Covers data visualization tools like Tableau, Power BI, Python & Excel.
Hands-On Learning – Work on real-world datasets & build interactive dashboards.
Career Growth & High Demand – Data visualization is a key skill for data analysts, BI professionals, and decision-makers.
Expert-Led Training – Learn from experienced data visualization professionals & industry experts.
Flexible Learning Options – Choose from live instructor-led training, self-paced learning, and corporate training.
Certification & Portfolio Development – Receive a Data Visualization Certification & build a strong project portfolio.
Who Should Learn Data Visualization Training?
Data Analysts & Business Analysts who need to communicate insights effectively.
Marketing & Sales Professionals looking to analyze customer behavior and trends.
Finance & Investment Professionals working with financial data visualization.
Project Managers & Decision-Makers aiming to make data-driven strategic decisions.
Aspiring Data Scientists & Data Engineers wanting to master visualization techniques.
Students & Professionals transitioning into data analytics & business intelligence.
What You Will Learn in Data Visualization Training
Introduction to Data Visualization
What is Data Visualization? – Importance & real-world applications.
Types of Data Visualizations – Charts, graphs, heatmaps, and dashboards.
Choosing the Right Visualization for Different Data Types.
Data Visualization with Tableau
Understanding Tableau Interface & Data Connection.
Creating Interactive Dashboards & Reports.
Using Filters, Parameters & Calculations for Advanced Analytics.
Data Visualization with Power BI
Connecting to Data Sources & Power BI Interface.
Building Dynamic Dashboards & Data Models.
Publishing & Sharing Reports via Power BI Service.
Data Visualization with Python (Matplotlib & Seaborn)
Creating Charts & Graphs using Matplotlib & Seaborn.
Customizing Visuals with Colors, Annotations & Labels.
Building Interactive & Animated Visualizations.
Data Visualization with Excel
Creating Pivot Tables & Charts for Quick Data Insights.
Using Conditional Formatting & Dynamic Dashboards.
Automating Reports with Excel Macros & Power Query.