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.

📂 Project Structure

• notebooks/: Jupyter Notebooks containing step-by-step analysis.
• data/: Raw and processed datasets (CSV, Excel).
• scripts/: Python scripts for automated data processing.
• visualizations/: Exported charts and dashboards.

🛠️ Tech Stack

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

👤 Author

Haris Jafri

• YouTube Channel
• LinkedIn Profile

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This repository is maintained for educational purposes and portfolio demonstration.