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Data Analyst in Python 📊

Welcome to the Data-Analyst-in-Python course repository. This project covers the end-to-end process of data analysis, from data cleaning and exploration to advanced visualization and storytelling using Python.

🚀 Course Objectives

  • Master Python libraries for data science (Pandas, NumPy, Matplotlib, Seaborn).
  • Perform Exploratory Data Analysis (EDA) on real-world datasets.
  • Learn to clean and transform messy data into actionable insights.
  • Communicate findings through professional visualizations.

🛠️ Tech Stack

  • Language: Python 3.x
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
  • Environment: Jupyter Notebook / VS Code

👤 Author

Haris Jafri

This repository is maintained for educational purposes and portfolio demonstration.