Course Modules
- Introduction to Cybersecurity & Threat Landscape
- Network Security Fundamentals (Firewalls, VPN, IDS/IPS)
- Operating System Security (Windows & Linux Hardening)
- Web Application Security (OWASP Top 10)
- Ethical Hacking Basics & Penetration Testing Tools
- Cryptography Essentials
- Incident Response & Digital Forensics
- Cyber Laws & Compliance
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Course Modules
- Python Basics for Data Science
- Data Cleaning, Visualization & Exploratory Analysis
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Model Evaluation & Optimization
- Neural Networks & Deep Learning Introduction
- Working with Real‑World ML Projects
- Deployment Basics (Flask, Streamlit)
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