EDA (Exploratory Data Analysis) in Python
Exploratory Data Analysis (EDA) involves analyzing and summarizing a dataset's main characteristics using visual and statistical methods. It includes data cleaning, descriptive statistics, visualization, and pattern detection to understand data structure, identify trends, and spot anomalies, guiding further analysis or modeling.
Course Duration: 4-6 Weeks
Prerequisites: Basic Python, NumPy, Pandas, and Matplotlib





