At Enlightened Center, we stand as a benchmark of excellence in service delivery, demonstrating unwavering commitment to meeting the unique needs and preferences of every learner and client. Our approach goes beyond conventional training by integrating cutting-edge digital technologies, advanced pedagogical methodologies, and adaptive learning systems to ensure an optimal educational experience.

We recognize that today’s digital economy demands more than just basic literacy—it requires competence in data management, cloud computing, cybersecurity, systems networking, database administration, human-computer interaction, and emerging fields such as artificial intelligence and machine learning. To address this, we provide both basic and advanced courses tailored to equip learners with the technical proficiency and critical thinking skills needed in modern industries.

In addition, we offer ICDL (International Computer Driving License) certification courses, enabling learners to achieve globally recognized digital competency standards. Whether it is mastering productivity applications, strengthening digital collaboration skills, or enhancing ICT security awareness, our programs are designed to align with international best practices and the dynamic requirements of the knowledge-based economy.

By combining innovation, technical precision, and learner-focused strategies, Enlightened Center not only trains but also empowers individuals to excel in personal, academic, and professional spheres.

ADVANCED DIPLOMA IN Cybersecurity

Course Duration: 18 to 24 months (2 yr Course)
Course Fee: 30,000 Kenyan Shillings Per semester
Weekly Commitment: Minimum of 2 hours per day
Course Overview:

Year 1: Cybersecurity

Semester 1: Introduction to Cybersecurity (Weeks 1-16)

Unit 1: Cybersecurity Fundamentals (Weeks 1-4)

• Introduction to Cybersecurity
• Cybersecurity vs Information Security
• Cyber Threats & Attack Vectors
• Cybersecurity Frameworks & Standards (NIST, ISO 27001, CIS)
• Career Paths in Cybersecurity

Unit 2: Networking Basics (Weeks 5-8)

• Introduction to Computer Networks
• OSI & TCP/IP Models
• IP Addressing & Subnetting
• Network Devices (Routers, Switches, Firewalls)
• Common Network Protocols (HTTP, HTTPS, FTP, DNS, etc.)

Unit 3: Operating Systems & Security (Weeks 9-12)

• Windows & Linux Basics
• User Account Management
• File Systems & Permissions
• Process Management & System Logs
• Introduction to PowerShell & Bash Scripting

Unit 4: Cyber Threats & Malware (Weeks 13-16)

• Common Cyber Threats (Phishing, Ransomware, DDoS, etc.)
• Types of Malware & Their Behavior
• Malware Analysis Basics
• Case Studies of Cyber Attacks 

Semester 2: Ethical Hacking & Penetration Testing (Weeks 17-32)

Unit 5: Introduction to Ethical Hacking (Weeks 17-20)

• Ethical Hacking vs Malicious Hacking
• Ethical Hacking Process & Methodologies
• Legal & Ethical Aspects of Hacking
• Virtual Labs Setup (Kali Linux, Metasploit, DVWA)

Unit 6: Reconnaissance & Scanning (Weeks 21-24)

• Information Gathering Techniques
• Footprinting & Reconnaissance
• Network Scanning Tools (Nmap, Wireshark)
• Vulnerability Scanning (Nessus, OpenVAS)

Unit 7: Exploitation & Gaining Access (Weeks 25-28)

• Exploiting Vulnerabilities
• Web Application Security Basics
• Password Cracking & Hashing
• Privilege Escalation Techniques

Unit 8: Post-Exploitation & Covering Tracks (Weeks 29-32)

• Maintaining Access (Backdoors, Rootkits)
• Clearing Logs & Covering Tracks
• Reporting & Documentation in Pen Testing
• Penetration Testing Project

Year 2: Advanced Cybersecurity & Specializations

Semester 3: Digital Forensics & Incident Response (Weeks 33-48)

Unit 9: Introduction to Digital Forensics (Weeks 33-36)

• Digital Forensics Basics
• Digital Evidence Collection
• Chain of Custody & Legal Considerations
• Digital Forensics Tools (Autopsy, FTK, EnCase)

Unit 10: Network Forensics (Weeks 37-40)

• Capturing & Analyzing Network Traffic
• Packet Analysis with Wireshark
• Identifying Malicious Traffic
• Intrusion Detection Systems (IDS/IPS)

Unit 11: Incident Response & Threat Intelligence (Weeks 41-44)

• Incident Response Life Cycle
• Threat Intelligence & Cyber Threat Hunting
• Security Information & Event Management (SIEM)
• Log Analysis & Threat Detection

Unit 12: Cybersecurity Policies & Compliance (Weeks 45-48)

• Cybersecurity Policies & Best Practices
• Compliance & Regulations (GDPR, HIPAA, PCI-DSS)
• Risk Management & Business Continuity
• Security Awareness Training

Semester 4: Advanced Security Techniques (Weeks 49-64)

Unit 13: Secure Coding & Application Security (Weeks 49-52)

• Secure Coding Best Practices
• Common Web App Vulnerabilities (OWASP Top 10)
• SQL Injection & Cross-Site Scripting (XSS)
• Web Application Firewalls (WAF)

Unit 14: Cloud Security (Weeks 53-56)

• Cloud Computing Basics
• Cloud Security Challenges
• Identity & Access Management (IAM)
• Securing Cloud Environments (AWS, Azure, GCP)

Unit 15: Cryptography & Secure Communications (Weeks 57-60)

• Introduction to Cryptography
• Symmetric & Asymmetric Encryption
• Hashing & Digital Signatures
• SSL/TLS & Secure Protocols

Unit 16: IoT & Mobile Security (Weeks 61-64)

• IoT Security Challenges
• Securing IoT Devices
• Mobile Security Risks & Countermeasures
• Mobile Application Penetration Testing

Semester 5: Security Operations & Advanced Threats (Weeks 65-80)

Unit 17: Security Operations Center (SOC) & SIEM (Weeks 65-68)

• SOC Roles & Responsibilities
• SIEM Tools (Splunk, ELK)
• Real-Time Threat Monitoring
• Incident Response in SOC

Unit 18: Advanced Threats & Red Teaming (Weeks 69-72)

• Advanced Persistent Threats (APTs)
• Red Team vs Blue Team
• Social Engineering & Physical Security
• Adversary Emulation & Attack Simulation

Unit 19: Wireless & Network Security (Weeks 73-76)

• Wireless Network Security Basics
• WPA2/WPA3 Attacks & Defense
• Network Segmentation & Zero Trust Security
• VPNs & Secure Remote Access

Unit 20: Security Automation & AI in Cybersecurity (Weeks 77-80)

• Automation in Cybersecurity
• AI & Machine Learning for Threat Detection
• Scripting for Cybersecurity (Python, PowerShell)
• Automating Security Operations

Semester 6: Career Preparation (Weeks 81-96)

Unit 21: Red Team vs Blue Team Exercises (Weeks 81-84)

• Red Teaming Techniques
• Blue Team Defense Strategies
• Capture The Flag (CTF) Challenges
• Adversary Simulation Exercises

Unit 22: Cybersecurity Case Studies & Research (Weeks 85-88)

• Analysis of Major Cyber Attacks
• Lessons from Real-World Incidents
• Research on Emerging Cyber Threats
• Ethical & Legal Considerations

Unit 23: Certification Preparation (Weeks 89-92)

• CompTIA Security+ / CEH / CISSP Prep
• Exam Practice & Mock Tests
• Interview Preparation & Resume Building
• Cybersecurity Career Roadmap

Unit 24: Capstone Project & Final Assessment (Weeks 93-96)

• End-to-End Cybersecurity Project
• Ethical Hacking & Defense Strategy Implementation
• Report Writing & Presentation

• Final Assessment
• ============================================================

24-Month (2-Year) Advanced Diploma in Computer Networking and Systems Administration (DCNSA)

The Advanced Diploma in Computer Networking and Systems Administration (DCNSA) is essential for individuals looking to build expertise in managing, configuring, and securing computer networks and IT infrastructures. This qualification equips students with in-depth knowledge of network protocols, cybersecurity, cloud computing, and system administration, preparing them for roles such as network administrators, IT support specialists, and system engineers. With the growing reliance on digital connectivity, businesses require professionals who can ensure seamless network operations and safeguard data from cyber threats. The DCNSA also provides a pathway for further certifications like Cisco CCNA, CompTIA Network+, and Microsoft Azure, enhancing career prospects in the ever-evolving IT industry.

Course Duration: 24-Month (2-Year) 
Course Fee: 30,000 Kenyan Shillings
Weekly Commitment: Minimum of 2 hours per day
Course Overview:

24-Month (2-Year) Advanced Diploma in Computer Networking and Systems Administration (DCNSA) course breakdown. The course is divided into 4 with weekly topics assigned. Each unit has a unique course code.

Advanced Diploma in Computer Networking and Systems Administration (DCNSA)

Duration: 24 Months (104 Weeks)
Mode: Theoretical + Practical + Industry Projects

Semester 1: Fundamentals of Computing & Networking

📅 Duration: 26 Weeks

Module 1: Introduction to Computing (DCNSA-101)

• Week 1-2: Fundamentals of Computer Systems
• Week 3-4: Operating System Basics (Windows & Linux)
• Week 5-6: Introduction to Virtualization

Module 2: Networking Essentials (DCNSA-102)

• Week 7-8: Networking Concepts & OSI Model
• Week 9-10: TCP/IP Protocol Suite
• Week 11-12: IP Addressing & Subnetting
• Week 13-14: Network Devices & Topologies

Module 3: System Administration Basics (DCNSA-103)

• Week 15-16: User & Group Management (Windows/Linux)
• Week 17-18: File System Management
• Week 19-20: Network File Sharing (NFS, SMB)

Module 4: Network Security Essentials (DCNSA-104)

• Week 21-22: Basic Cybersecurity Principles
• Week 23-24: Firewalls & Network Security Tools
• Week 25-26: Mid-Semester Exam + Industry Guest Lecture

Semester 2: Advanced Networking & Security

📅 Duration: 26 Weeks

Module 5: Routing & Switching (DCNSA-201)

• Week 27-28: VLANs & Inter-VLAN Routing
• Week 29-30: Static & Dynamic Routing (RIP, OSPF, EIGRP)
• Week 31-32: Switching Protocols (STP, VTP, EtherChannel)

Module 6: Advanced System Administration (DCNSA-202)

• Week 33-34: Windows Server Management
• Week 35-36: Linux Server Administration (Apache, MySQL, SSH)
• Week 37-38: System Performance Tuning

Module 7: Network Security & Threats (DCNSA-203)

• Week 39-40: Intrusion Detection & Prevention Systems (IDS/IPS)
• Week 41-42: Wireless Network Security
• Week 43-44: Incident Response & Forensics

Module 8: Cloud Computing & Virtualization (DCNSA-204)

• Week 45-46: Introduction to Cloud (AWS, Azure, Google Cloud)
• Week 47-48: Virtualization Technologies (VMware, Hyper-V)
• Week 49-50: Industry Use Cases + Mid-Year Exam

Semester 3: Enterprise Networking & Server Infrastructure

📅 Duration: 26 Weeks

Module 9: Enterprise Networking (DCNSA-301)

• Week 51-52: MPLS & WAN Technologies
• Week 53-54: VoIP & Unified Communications
• Week 55-56: Software-Defined Networking (SDN)

Module 10: Server Infrastructure & Storage (DCNSA-302)

• Week 57-58: Active Directory & Group Policy
• Week 59-60: Network Attached Storage (NAS) & SAN
• Week 61-62: Backup & Disaster Recovery

Module 11: Network Automation & Scripting (DCNSA-303)

• Week 63-64: Python for Network Automation
• Week 65-66: PowerShell & Bash Scripting
• Week 67-68: Automating System Administration Tasks

Module 12: Ethical Hacking & Penetration Testing (DCNSA-304)

• Week 69-70: Ethical Hacking Basics
• Week 71-72: Penetration Testing Tools (Metasploit, Wireshark)
• Week 73-74: Vulnerability Assessment

Semester 4: Cloud, Cybersecurity, & Final Projects

📅 Duration: 26 Weeks

Module 13: Cloud Networking & Security (DCNSA-401)

• Week 75-76: Cloud Security Best Practices
• Week 77-78: Kubernetes & Container Networking
• Week 79-80: Zero Trust Architecture

Module 14: IT Project Management (DCNSA-402)

• Week 81-82: Agile & DevOps Practices
• Week 83-84: ITIL & Service Management
• Week 85-86: Industry Case Studies

Module 15: Capstone Project & Internship (DCNSA-403)

• Week 87-90: Real-World Networking & Security Project
• Week 91-94: Internship/Industrial Attachment
• Week 95-98: Project Presentation & Evaluation

Module 16: Certification & Career Preparation (DCNSA-404)

• Week 99-100: CCNA, CompTIA Security+, Linux+ Prep
• Week 101-102: Resume Building & Job Interview Prep
• Week 103-104: Final Exam & Graduation 🎓

Additional Course Features

✅ Certifications Prep: CCNA, CompTIA Security+, AWS, Linux+
✅ Practical Hands-on Labs: Cisco Packet Tracer, VMware, AWS
✅ Industry Internship: 3 Months (Final Semester)

24-Month (2-Year) Advanced Diploma in Computer Networking and Systems Administration (DCNSA)

The Advanced Diploma in Computer Networking and Systems Administration (DCNSA) is essential for individuals looking to build expertise in managing, configuring, and securing computer networks and IT infrastructures. This qualification equips students with in-depth knowledge of network protocols, cybersecurity, cloud computing, and system administration, preparing them for roles such as network administrators, IT support specialists, and system engineers. With the growing reliance on digital connectivity, businesses require professionals who can ensure seamless network operations and safeguard data from cyber threats. The DCNSA also provides a pathway for further certifications like Cisco CCNA, CompTIA Network+, and Microsoft Azure, enhancing career prospects in the ever-evolving IT industry.

Course Duration: 24-Month (2-Year) 
Course Fee: 30,000 Kenyan Shillings
Weekly Commitment: Minimum of 2 hours per day
Course Overview:

24-Month (2-Year) Advanced Diploma in Computer Networking and Systems Administration (DCNSA) course breakdown. The course is divided into 4 with weekly topics assigned. Each unit has a unique course code.

Advanced Diploma in Computer Networking and Systems Administration (DCNSA)

Duration: 24 Months (104 Weeks)
Mode: Theoretical + Practical + Industry Projects

Semester 1: Fundamentals of Computing & Networking

📅 Duration: 26 Weeks

Module 1: Introduction to Computing (DCNSA-101)

• Week 1-2: Fundamentals of Computer Systems
• Week 3-4: Operating System Basics (Windows & Linux)
• Week 5-6: Introduction to Virtualization

Module 2: Networking Essentials (DCNSA-102)

• Week 7-8: Networking Concepts & OSI Model
• Week 9-10: TCP/IP Protocol Suite
• Week 11-12: IP Addressing & Subnetting
• Week 13-14: Network Devices & Topologies

Module 3: System Administration Basics (DCNSA-103)

• Week 15-16: User & Group Management (Windows/Linux)
• Week 17-18: File System Management
• Week 19-20: Network File Sharing (NFS, SMB)

Module 4: Network Security Essentials (DCNSA-104)

• Week 21-22: Basic Cybersecurity Principles
• Week 23-24: Firewalls & Network Security Tools
• Week 25-26: Mid-Semester Exam + Industry Guest Lecture

Semester 2: Advanced Networking & Security

📅 Duration: 26 Weeks

Module 5: Routing & Switching (DCNSA-201)

• Week 27-28: VLANs & Inter-VLAN Routing
• Week 29-30: Static & Dynamic Routing (RIP, OSPF, EIGRP)
• Week 31-32: Switching Protocols (STP, VTP, EtherChannel)

Module 6: Advanced System Administration (DCNSA-202)

• Week 33-34: Windows Server Management
• Week 35-36: Linux Server Administration (Apache, MySQL, SSH)
• Week 37-38: System Performance Tuning

Module 7: Network Security & Threats (DCNSA-203)

• Week 39-40: Intrusion Detection & Prevention Systems (IDS/IPS)
• Week 41-42: Wireless Network Security
• Week 43-44: Incident Response & Forensics

Module 8: Cloud Computing & Virtualization (DCNSA-204)

• Week 45-46: Introduction to Cloud (AWS, Azure, Google Cloud)
• Week 47-48: Virtualization Technologies (VMware, Hyper-V)
• Week 49-50: Industry Use Cases + Mid-Year Exam

Semester 3: Enterprise Networking & Server Infrastructure

📅 Duration: 26 Weeks

Module 9: Enterprise Networking (DCNSA-301)

• Week 51-52: MPLS & WAN Technologies
• Week 53-54: VoIP & Unified Communications
• Week 55-56: Software-Defined Networking (SDN)

Module 10: Server Infrastructure & Storage (DCNSA-302)

• Week 57-58: Active Directory & Group Policy
• Week 59-60: Network Attached Storage (NAS) & SAN
• Week 61-62: Backup & Disaster Recovery

Module 11: Network Automation & Scripting (DCNSA-303)

• Week 63-64: Python for Network Automation
• Week 65-66: PowerShell & Bash Scripting
• Week 67-68: Automating System Administration Tasks

Module 12: Ethical Hacking & Penetration Testing (DCNSA-304)

• Week 69-70: Ethical Hacking Basics
• Week 71-72: Penetration Testing Tools (Metasploit, Wireshark)
• Week 73-74: Vulnerability Assessment

Semester 4: Cloud, Cybersecurity, & Final Projects

📅 Duration: 26 Weeks

Module 13: Cloud Networking & Security (DCNSA-401)

• Week 75-76: Cloud Security Best Practices
• Week 77-78: Kubernetes & Container Networking
• Week 79-80: Zero Trust Architecture

Module 14: IT Project Management (DCNSA-402)

• Week 81-82: Agile & DevOps Practices
• Week 83-84: ITIL & Service Management
• Week 85-86: Industry Case Studies

Module 15: Capstone Project & Internship (DCNSA-403)

• Week 87-90: Real-World Networking & Security Project
• Week 91-94: Internship/Industrial Attachment
• Week 95-98: Project Presentation & Evaluation

Module 16: Certification & Career Preparation (DCNSA-404)

• Week 99-100: CCNA, CompTIA Security+, Linux+ Prep
• Week 101-102: Resume Building & Job Interview Prep
• Week 103-104: Final Exam & Graduation 🎓

Additional Course Features

✅ Certifications Prep: CCNA, CompTIA Security+, AWS, Linux+
✅ Practical Hands-on Labs: Cisco Packet Tracer, VMware, AWS
✅ Industry Internship: 3 Months (Final Semester)

Diploma in Computer Networking and Systems Administration (CCNSA) -Short Course

The Diploma in Computer Networking and Systems Administration (DCNSA) is a highly valuable program that equips students with essential skills in network infrastructure, system security, and IT administration. The course is critical for both beginners and professionals looking to build a career in the IT industry.

Course Duration: 4 to 6 months ( 12 to 16 weeks)
Course Fee: 30,000 Kenyan Shillings
Weekly Commitment: Minimum of 2 hours per day
Course Overview:

Diploma in Computer Networking and Systems Administration (DCNSA) – 4 to 6 Months

Month 1: Networking Fundamentals & Operating Systems

Week 1: Introduction to Computer Networks (Unit Code: DCNSA-101)

• Basics of Networking
• Types of Networks (LAN, WAN, MAN)
• Networking Devices (Routers, Switches, Hubs)
• OSI and TCP/IP Models

Week 2: Network Protocols & Communication (Unit Code: DCNSA-102)

• IP Addressing (IPv4 & IPv6)
• Subnetting and Supernetting
• DHCP, DNS, HTTP, FTP, SSH Protocols
• Network Troubleshooting Tools (Ping, Traceroute, Netstat)

Week 3: Operating Systems (Windows & Linux Basics) (Unit Code: DCNSA-103)

• Windows OS Installation & Configuration
• Linux Installation (Ubuntu/CentOS)
• Command Line Interface (CLI) Basics
• File Systems, User Management, and Permissions

Week 4: Virtualization & Cloud Computing (Unit Code: DCNSA-104)

• Introduction to Virtualization (VMware, VirtualBox)
• Installing and Configuring Virtual Machines
• Basics of Cloud Computing (AWS, Azure, Google Cloud)
• Cloud Storage & Networking

Month 2: Advanced Networking & Security

Week 5: Network Infrastructure & Routing (Unit Code: DCNSA-201)

• Network Topologies & Architectures
• Introduction to Routing & Switching
• Static and Dynamic Routing (RIP, OSPF, EIGRP)
• VLANs and Inter-VLAN Routing

Week 6: Wireless & Mobile Networks (Unit Code: DCNSA-202)

• Wireless Networking Standards (802.11)
• Wi-Fi Configuration & Security
• Mobile Networks (3G, 4G, 5G)
• Network Performance Optimization

Week 7: Network Security Fundamentals (Unit Code: DCNSA-203)

• Cybersecurity Basics
• Firewalls & Intrusion Detection Systems (IDS)
• VPNs and Secure Remote Access
• Data Encryption & Secure Communication

Week 8: System Administration & Automation (Unit Code: DCNSA-204)

• Windows Server Administration (Active Directory, Group Policies)
• Linux System Administration (Cron Jobs, Bash Scripting)
• Automating Tasks with PowerShell & Python
• Monitoring System Performance & Logs

Month 3: Advanced Topics & Capstone Project

Week 9: Cloud & DevOps Essentials (Unit Code: DCNSA-301)

• Introduction to DevOps (CI/CD, Automation)
• Containerization with Docker
• Cloud Networking Concepts
• Infrastructure as Code (IaC) with Terraform

Week 10: Ethical Hacking & Penetration Testing (Unit Code: DCNSA-302)

• Network Penetration Testing Basics
• Common Attacks (MITM, Phishing, SQL Injection)
• Security Auditing & Vulnerability Scanning
• Ethical Hacking Tools (Kali Linux, Metasploit)

Week 11: Disaster Recovery & Business Continuity (Unit Code: DCNSA-303)

• Data Backup Strategies & Recovery Planning
• High Availability & Load Balancing
• Risk Management & Compliance (GDPR, ISO 27001)
• IT Policies & Incident Response

Week 12: Final Capstone Project & Certification (Unit Code: DCNSA-304)

• Practical Networking & Systems Administration Project
• Industry Best Practices
• Interview Preparation & Job Readiness
• Certification Exam

Final Deliverables

✔ Hands-on Labs & Practical Assignments
✔ Mock Exams & Quizzes
✔ Project Presentation & Evaluation

PROFICIENCY DIPLOMA IN Data Management and Analytics (DDMA)

Below is a detailed 6-Month Diploma in Data Management and Analytics (DDMA) course structure, broken down by weeks. The curriculum covers essential topics in data management, analytics, visualization, and business intelligence

Course Duration: 4 to 6 months (16 to 24 weeks)
Course Fee: 30,000 Kenyan Shillings
Weekly Commitment: Minimum of 2 hours per day
Course Overview:

in Data Management and Analytics (DDMA) – Course Outline (6 Months)

Duration: 6 Months (24 Weeks)
Total Modules: 6
Total Units: 24
Mode: Online/In-Class

Module 1: Introduction to Data Management & Analytics (DM-101)

(Weeks 1-4)
This module introduces students to the basics of data management and analytics concepts.

• Week 1: Foundations of Data Management (DM-101A)

• • What is Data Management?
  • Types of Data (Structured vs. Unstructured)
  • Data Lifecycle & Governance
  • Introduction to Relational Databases

• Week 2: Introduction to Analytics & Data Processing (DM-101B)

• • Data Analytics Overview
  • Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
  • Data Collection and Cleaning
  • Data Processing Basics

• Week 3: SQL for Data Management (DM-101C)

• • Introduction to SQL
  • CRUD Operations (Create, Read, Update, Delete)
  • SQL Joins and Aggregation Functions
  • Data Querying and Filtering

• Week 4: Data Warehousing & ETL Concepts (DM-101D)

• • Data Warehouse vs. Database
  • ETL (Extract, Transform, Load) Processes
  • Data Lake vs. Data Warehouse
  • Popular ETL Tools (Informatica, Talend, etc.)

Module 2: Programming for Data Analytics (PA-102)

(Weeks 5-8)
This module focuses on programming skills required for data analytics.

• Week 5: Python for Data Analysis – Part 1 (PA-102A)

• • Python Basics (Variables, Data Types, Loops)
  • Functions and Modules
  • Introduction to Pandas & NumPy

• Week 6: Python for Data Analysis – Part 2 (PA-102B)

• • Data Wrangling with Pandas
  • Data Cleaning & Handling Missing Values
  • Data Visualization with Matplotlib & Seaborn

• Week 7: R for Data Analytics (PA-102C)

• • Introduction to R Programming
  • Data Manipulation with dplyr
  • Data Visualization with ggplot2

• Week 8: Working with APIs & Web Scraping (PA-102D)

• • Introduction to APIs
  • Web Scraping with BeautifulSoup & Selenium
  • Data Extraction from JSON & XML

Module 3: Data Analytics & Business Intelligence (DA-103)

(Weeks 9-12)
This module covers analytics techniques and business intelligence tools.

• Week 9: Statistical Analysis for Data Science (DA-103A)

• • Descriptive & Inferential Statistics
  • Probability Distributions
  • Hypothesis Testing

• Week 10: Exploratory Data Analysis (EDA) (DA-103B)

• • Data Cleaning & Preprocessing
  • Feature Engineering
  • Outlier Detection

• Week 11: Business Intelligence Tools (DA-103C)

• • Introduction to BI Tools (Tableau, Power BI)
  • Creating Dashboards & Reports
  • Data Storytelling

• Week 12: Predictive Analytics & Machine Learning Basics (DA-103D)

• • Introduction to Machine Learning
  • Regression Analysis (Linear & Logistic)
  • Decision Trees & Random Forest

Module 4: Big Data & Cloud Computing (BD-104)

(Weeks 13-16)
This module introduces students to big data technologies and cloud platforms.

• Week 13: Introduction to Big Data (BD-104A)

• • What is Big Data?
  • Characteristics of Big Data
  • Introduction to Hadoop & Spark

• Week 14: Working with NoSQL Databases (BD-104B)

• • Introduction to MongoDB & Cassandra
  • Key-Value Stores vs. Document Stores
  • Querying in NoSQL Databases

• Week 15: Cloud Computing for Data Management (BD-104C)

• • Cloud Platforms (AWS, Azure, Google Cloud)
  • Storage Solutions (S3, Google BigQuery, Azure Data Lake)
  • Cloud-Based Data Warehousing

• Week 16: Data Security & Governance (BD-104D)

• • Data Privacy Laws (GDPR, HIPAA)
  • Role-Based Access Control
  • Encryption & Data Protection

Module 5: Advanced Analytics & AI (AA-105)

(Weeks 17-20)
Students will explore deep learning, NLP, and AI applications.

• Week 17: Time Series & Forecasting (AA-105A)

• • Time Series Analysis Basics
  • ARIMA, Exponential Smoothing
  • Forecasting Models

• Week 18: Introduction to Deep Learning (AA-105B)

• • Neural Networks Basics
  • TensorFlow & Keras
  • Image & Text Analytics

• Week 19: Natural Language Processing (NLP) (AA-105C)

• • Text Preprocessing & Sentiment Analysis
  • Named Entity Recognition
  • Topic Modeling

• Week 20: AI in Business & Ethical AI (AA-105D)

• • AI Use Cases in Industry
  • Ethical Concerns in AI
  • AI Bias & Fairness

Module 6: Capstone Project & Career Preparation (CP-106)

(Weeks 21-24)
Students will apply their learning to real-world data projects and prepare for careers.

• Week 21: Capstone Project Planning (CP-106A)

• • Project Topic Selection
  • Defining Objectives & Scope
  • Data Collection & Preparation

• Week 22: Project Development & Implementation (CP-106B)

• • Applying Data Management & Analytics Techniques
  • Using Visualization & BI Tools
  • Model Building & Evaluation

• Week 23: Report Writing & Presentation (CP-106C)

• • Structuring Data Reports
  • Creating Engaging Data Presentations
  • Insights & Business Recommendations

• Week 24: Career Guidance & Certification (CP-106D)

• • Resume Building & LinkedIn Optimization
  • Mock Interviews & Job Market Trends
  • Certification Exam & Course Completion

Assessment & Grading:

• Assignments & Quizzes – 30%
• Mid-Term Exam – 20%
• Capstone Project – 30%
• Final Exam – 20%

Certification & Career Prospects

Upon completion, students will earn a Diploma in Data Management & Analytics (DDMA).

Graduates can pursue careers as:
✅ Data Analysts
✅ Business Intelligence Analysts
✅ Data Engineers
✅ Database Administrators
✅ AI/ML Engineers