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This project analyzes how technical skills affect salary outcomes using real-world data from Glassdoor job postings. After cleaning and standardizing salary information, exploratory analysis was performed to compare average pay across different skills, job roles, and industries. The study found that professionals with combinations like Python, SQL, and Tableau earn up to 25% higher salaries than those with single-skill profiles. Regression modeling further revealed that skills such as SAS, AWS, Python, and R have strong positive impacts on salary levels, particularly in finance and analytics-related roles. Visualizations including bar charts, heatmaps, and bubble plots highlighted the most valuable skill clusters and top-paying industries. The project concludes that building multi-skill expertise—especially in data programming, analytics, and cloud tools—significantly boosts earning potential and career growth in today’s data-driven job market.
