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Data Visualization

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.

Course Curriculum

Module 1: 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.
Module 2: Data Visualization with Tableau
  • Understanding Tableau Interface & Data Connection.
    Creating Interactive Dashboards & Reports.
    Using Filters, Parameters & Calculations for Advanced Analytics.
Module 3: Data Visualization with Power BI
  • Connecting to Data Sources & Power BI Interface.
  • Building Dynamic Dashboards & Data Models.
  • Publishing & Sharing Reports via Power BI Service.
Module 4: Data Visualization with Python (Matplotlib & Seaborn)
  • Creating Charts & Graphs using Matplotlib & Seaborn.
  • Customizing Visuals with Colors, Annotations & Labels.
  • Building Interactive & Animated Visualizations.
Module 5: Data Visualization with Excel
  • Creating Pivot Tables & Charts for Quick Data Insights.
  • Using Conditional Formatting & Dynamic Dashboards.
  • Automating Reports with Excel Macros & Power Query.
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