Python or R Programming – Data manipulation, scripting, visualization. Statistics & Probability – Descriptive stats, hypothesis testing, distributions. Data Wrangling & Cleaning – Handling missing values, outliers, and transformations. Exploratory Data Analysis (EDA) – Visualizations using tools like Matplotlib, Seaborn. …
