Core Concepts:
Data analysis fundamentals using Python libraries like Pandas and NumPy
Exploratory Data Analysis (EDA), data wrangling, visualization, and hypothesis testing techniques
Interpreting trends and patterns through effective visual storytelling
Tools:
Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook
Project:
Perform EDA on a public sales dataset. Clean and visualize the data using Pandas and Seaborn, test key business hypotheses, and derive actionable sales insights through a structured mini project.