Introduction:

This course is designed for individuals seeking a comprehensive understanding of cybersecurity, from foundational concepts to advanced threats and defensive strategies. Through a blend of interactive lectures, hands-on labs, real-world case studies, and practical projects, participants will gain the knowledge and skills necessary to secure data and systems in today’s ever-evolving digital landscape.

  •  Understanding the cybersecurity landscape: threats, vulnerabilities, and attack vectors.
  •  The importance of cybersecurity for individuals and organizations.
  •  Introduction to the CIA triad (Confidentiality, Integrity, Availability) in cybersecurity
  •  Network security fundamentals: TCP/IP, network protocols, and network devices.
  •  Operating system security concepts: user accounts, permissions, and access control.
  •  Cryptography basics: encryption, decryption, and key management.
  •  Demystifying common cyber threats: Malware (viruses, worms, ransomware).
  •  Exploring social engineering tactics and phishing scams.
  •  Understanding network security vulnerabilities and attack vectors (DoS, SQL injection).
  • Implementing preventative security measures: firewalls, intrusion detection systems (IDS), and anti-malware software.
  •  Network segmentation and access control for improved security.
  •  Importance of strong passwords, multi-factor authentication (MFA), and secure configurations.
  •  Identifying phishing attempts and social engineering tactics.
  •  Safe browsing practices and secure online habits.
  •  Securing personal devices and online accounts.
  • Explain the art of data storytelling: crafting a narrative using data to engage the audience and influence decisions.
  • Discuss the key elements of a compelling data story (context, evidence, insights, recommendations).
  • Cover effective communication techniques for presenting data insights clearly and concisely.

Activities:

  • Interactive exercises on identifying the elements of a strong data story.
  • Group projects on developing data stories from provided datasets.
  • Peer-review sessions on refining data storytelling techniques.

Phase 2:

  •  Identifying vulnerabilities in systems and networks using vulnerability scanners.
  •  Penetration testing methodologies and ethical hacking practices.
  •  Risk assessment frameworks and vulnerability prioritization techniques.
  •  Firewalls: configurations, types (stateful, packet filtering), and advanced features.
  •  Intrusion Detection/Prevention Systems (IDS/IPS): functionalities and deployment strategies.
  •  Wireless network security: securing Wi-Fi networks and access points (WPA2, WPA3).
  •  Operating system hardening: securing user accounts, permissions, and system configurations.
  •  Application security best practices: secure coding principles and vulnerabilities.
  •  Secure coding fundamentals (optional): common vulnerabilities and coding practices for mitigation
  •  Developing a cybersecurity incident response plan: detection, containment, eradication, and recovery procedures.
  •  Digital forensics basics: preserving evidence and conducting investigations after a cyberattack.
  •  Importance of reporting cyberattacks to appropriate authorities.

Phase 3:

  • Security considerations for cloud computing platforms (AWS, Azure, GCP).
  • Cloud security models: shared responsibility model, and securing cloud resources.
  • Cloud security best practices: data encryption, access control, and incident response in the cloud.
  •  Common web application vulnerabilities (OWASP Top 10).
  •  Web application security testing (WAST) tools and methodologies.
  •  Secure coding practices for web developers.
  •  Understanding the role of SOC in cybersecurity operations.
  •  Security information and event management (SIEM) systems.
  •  Incident response procedures and threat hunting techniques
  • Advanced encryption algorithms (AES, RSA) and key management techniques.
  •  Data security best practices: data encryption at rest and in transit.
  •  Understanding
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