
A Data Analyst is a professional who collects, cleans, processes, and interprets data to generate meaningful insights for decision-making, using key concepts such as data collection, data cleaning, data preprocessing, exploratory data analysis (EDA), data visualization, dashboard development, business intelligence, SQL queries, ETL, statistical analysis, predictive analytics, feature engineering, data wrangling, KPI tracking, A/B testing, regression, correlation, and machine learning,Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn to transform raw datasets into actionable insights, identify patterns and trends, create interactive dashboards, and support data-driven business strategies.