This project involved analyzing a dataset of Data Science salaries using Python. The main goal was to understand salary trends based on factors such as experience level, job title, company size, and location.
During the project, I:
Cleaned and preprocessed the data to ensure accuracy.
Performed exploratory data analysis (EDA) to uncover insights.
Created visualizations to highlight patterns and trends.
Analyzed salary distributions across different roles and experience levels.
Tools used: Python, Pandas, NumPy, Matplotlib, Seaborn.