🧠 Data Analytics & AI with Python

Welcome to the official repository for Data Analytics and AI with Python, a hands-on course designed by Solomon Tessema to bridge foundational analytics with modern agentic AI workflows. This repo blends classical machine learning, PySpark-based data engineering, and LLM integration into reproducible, real-world pipelines.

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🚀 Course Objectives

• Master Python for data analysis, visualization, and automation
• Build scalable ETL pipelines using PySpark
• Apply classical ML techniques: regression, classification, clustering
• Integrate LLMs and vector search for intelligent data workflows
• Design modular, observable systems using n8n, LangChain, and custom APIs

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🧰 Tech Stack

Category	Tools & Libraries
Data Wrangling	Pandas, PySpark, SQL
Visualization	Matplotlib, Seaborn, Plotly
Machine Learning	Scikit-learn, TensorFlow, XGBoost
Workflow Design	n8n, FastAPI, RESTful APIs

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📁 Repository Structure

├── notebooks/              # Jupyter & Colab notebooks
├── datasets/               # Sample CSVs and Parquet files
├── modules/                # Reusable Python scripts
├── pipelines/              # End-to-end ETL and ML flows
├── visualizations/         # Charts and dashboards
├── README.md               # This file