What's Included

Interactive Player Selection
Choose any player from a dropdown to explore their detailed performance metrics.

Comprehensive Player Summary
View age, nationality, position, height, weight, and dominant foot in a clean summary panel.

Monthly Performance Trends
Six bar charts visualize key statistics across 12 months for each player.

Clean and Engaging Layout
Left-side summary with right-side charts for easy navigation and clear insights.

Dynamic Data Exploration
Easily compare physical attributes with monthly performance to identify patterns and trends.

  • Famous Soccer Players: Profile & Performance Data Set

    Profiles and monthly performance metrics for 20 elite soccer players, covering physical stats, injuries, earnings, goals, and assists.

  • 🖼️ High-Resolution Images for Dashboards

    Access a curated collection of high-quality AI-generated images. Perfect for enhancing your dashboard designs, adding visual flair, or customizing your projects.

  • 📊 Complete Tableau Workbook Included

    Get the fully built Tableau workbook with dashboards. Study its structure, customize it, or add it to your portfolio to impress employers.

Dashboard Design

Focus on Key Metrics
Highlights distance, injuries, missed games, earnings, goals, and assists for clear performance evaluation.

Easy Month-to-Month Comparison
Bar charts allow quick identification of peaks, drops, and trends across the year.

Player Profile Integration
Combines static profile data with dynamic monthly statistics for a complete player view.

Responsive Visual Design
Optimized for readability and usability, even with large datasets or multiple filters.

Ideal for Analysis and Presentation
Perfect for data storytelling, comparisons, and showcasing Tableau dashboard design skills.

Course Curriculum

    1. Welcome to the Course

    2. Data Set

    3. Images

    4. Workbook Files

About this course

  • 4 lessons
  • 0 hours of video content

Data Dictionary Included

📘 Why a Data Dictionary Matters:

A data dictionary is essential for understanding the structure and meaning of each field in your dataset. It ensures consistency, improves collaboration, and makes your analysis easier to follow—especially when sharing with employers or peers.