Data Science and AI for Beginners

Module 1: Introduction to Data Science (2 Weeks)

• Overview of data science and its role in AI
• Key techniques in data collection, cleaning, and analysis
• Structured vs. unstructured data explained
• Introduction to Python for data handling
• Hands-on project: Clean and explore a dataset

Module 2: Fundamentals of Machine Learning (2 Weeks)

• Supervised vs. unsupervised learning
• Key algorithms: Decision Trees, K-Nearest Neighbors, Linear Regression
• Using Scikit-learn to build machine learning models
• Evaluating model performance: metrics and error measurement
• Hands-on project: Predict housing prices using machine learning

Module 3: Core AI Tools – Pandas, NumPy, and Matplotlib (2 Weeks)

• Using Pandas for data manipulation
• NumPy for numerical computing and arrays
• Data visualization with Matplotlib: charts, graphs, and plots
• Hands-on project: Create a visual data report for business insights