Data Science & Data Analytics
What you'll learn
Understand the complete data science and data analytics workflow
Use Python and key libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn
Import, clean, manipulate, and analyze real-world datasets
Perform exploratory data analysis and create meaningful visualizations
Apply statistical methods and hypothesis testing
Build predictive models using regression, classification, and clustering
Implement machine learning algorithms using Python
Work with databases and multiple data sources
Perform time series analysis and basic text mining
Build real-world data science projects for your professional portfolio
Cybersecurity & Ethical Hacking
What you'll learn
Understand cybersecurity fundamentals, threats, and attack types
Install and use Kali Linux for ethical hacking
Perform network scanning using Nmap
Analyze network traffic using Wireshark
Identify and exploit system vulnerabilities
Perform penetration testing using Metasploit Framework
Learn web application security and common vulnerabilities
Protect systems from malware, phishing, and cyber attacks
Understand password cracking techniques and prevention
Apply real-world cybersecurity defense strategies
Cloud Computing (AWS / Azure / GCP)
What you'll learn
Understand cloud computing concepts, architecture, and deployment models
Deploy and manage virtual servers using AWS EC2, Azure VM, and GCP Compute Engine
Configure cloud storage solutions including object storage and block storage
Build scalable and highly available cloud infrastructure
Implement networking using Virtual Private Cloud (VPC), subnets, and load balancers
Deploy and manage databases in the cloud environment
Use cloud security tools including IAM, encryption, and access control
Implement auto scaling, monitoring, and performance optimization
Migrate applications from on-premises infrastructure to the cloud
Work with serverless computing using AWS Lambda and modern cloud services