AI & Data Analytics
Career Studies Certificate
Data Systems, Science, Analytics and Machine Learning
Prof. Shahpar Islam
1
Trainer Instructor I
2019
2
Adjunct Faculty
2020
3
Assistant Professor
2022
ITP 150 - Python Programming
4 Credits | Fundamentals of Object-Oriented Programming
Comprehensive foundation in Python programming covering algorithm development, coding, debugging, and documentation.
Core Skills
Design, develop, code, test & debug Python programs
Topics Covered
Data types, loops, functions, classes, file I/O
No Prerequisites
Perfect for beginners
Hands-On Learning
4 hours lecture per week with practical applications
Click here to learn more about ITP 150 - Python Programming (4 CR. )
ITD 132 - Structured Query Language
3 Credits | SQL for Database Access
Comprehensive foundation in writing ANSI/ISO SQL statements to extract data from relational databases.
Core Skills
Write SQL statements, create tables, manage data
Topics Covered
Queries, joins, functions, indexes, views, security
Prerequisites
Introductory knowledge of database application software
Hands-On Learning
3 hours lecture per week with practical SQL scripting
ITD 256 - Advanced Database Management
3 Credits | Advanced Database Concepts & Implementation
This course delves into sophisticated database management systems, covering data warehousing, distributed and object-oriented databases, and robust security measures. Students master advanced SQL, transaction management, and performance tuning for complex data environments.
Data Warehousing
Explore architectures for business intelligence & analytics
Distributed Databases
Manage data across multiple interconnected systems
Database Security
Implement robust measures to protect sensitive data
Performance Tuning
Optimize database operations for maximum efficiency
Advanced SQL
Master complex queries & transaction management
ITD 145 - Applied Data Science Techniques
3 Credits | Introduction to Data Science & Statistics
Reviews the fundamentals of descriptive and inferential statistics, probability, and distributions, as well as basic dataset manipulation and plotting techniques. Focuses on application to real datasets using graphical user interface (GUI) software tools as well as Python.
Descriptive Statistics
Master central tendency, dispersion, and basic statistical concepts
Data Manipulation
Extract, clean, and transform data using Python (NumPy, Pandas, Matplotlib)
Data Visualization
Generate plots and visualizations from raw and derived data
Statistical Analysis
Work with distributions, hypothesis testing, and evaluation metrics
ITD 245 - Advanced Applied Data Science Techniques
3 Credits | Principles and Applications
This course introduces fundamental concepts and techniques for discovering valuable patterns and insights from large datasets. Students will engage in hands-on applications using popular data mining tools and programming languages.
Data Preprocessing
Prepare and clean raw data for effective analysis.
Pattern Discovery
Uncover hidden associations and categorize complex data.
Predictive Modeling
Build models to forecast trends and detect anomalies.
Real-World Application
Apply techniques to practical data mining challenges.
ITD 140 - Machine Learning I
3 Credits | Introduction to AI & Machine Learning
Introduces students to artificial intelligence and machine learning. Examines basic theory, algorithms, and applications. Focuses on feature engineering and machine learning applications within the larger world of artificial intelligence. Part I of II.
AI Fundamentals
Explore basic artificial intelligence approaches and neural networks.
Supervised Learning
Master regression, classification, decision trees, and kNN algorithms.
Unsupervised Learning
Apply clustering, k-means, and dimensionality reduction techniques.
Feature Engineering
Learn feature extraction, scaling, normalization, and one-hot encoding.
ITD 240 - Machine Learning II
3 Credits | Advanced Machine Learning & Pattern Recognition
Examines theory, algorithms, applications, and issues within the subfield of pattern recognition and machine learning, including feature engineering and extraction, supervised and unsupervised learning. Focuses on theory and practice, with coverage of underlying mathematical and heuristic concepts.
Prerequisite: ITD 140 Machine Learning I
Advanced Supervised Learning
Master regression, classification, decision trees, SVMs, and neural networks
Advanced Unsupervised Learning
Apply clustering, k-means, anomaly detection, and dimensionality reduction
Feature Engineering
Advanced feature extraction, engineering techniques, and optimization
Model Evaluation & Tuning
Learn hyperparameter tuning, validation metrics, and bias-variance tradeoff
ITD 195 - Artificial Intelligence (AI) Practitioner
3 Credits | Introduction to AI & Machine Learning
This introductory course explores the exciting world of Artificial Intelligence through hands-on activities and interactive projects. Learn foundational concepts of AI, Machine Learning, Deep Learning, and Generative AI, including large language models and responsible AI practices.
AI Fundamentals
Understand core AI concepts, terminology, and applications
Machine Learning & Deep Learning
Explore neural networks and modern AI architectures
Generative AI & LLMs
Master transformers, fine-tuning, and large language models
Advanced Topics
Learn Agentic AI, NLP, and Model-Context Protocol
Certification Prep
Capstone project preparing for Google AI Essentials Certification
Strategic AI & Data Partnerships
Northern Virginia Community College (NOVA) collaborates extensively with the U.S. Marine Corps (USMC) and the United States Naval Community College (USNCC), delivering specialized Artificial Intelligence and Machine Learning programs crucial for national defense and workforce development.
USMC Partnership: Data Intelligence and AI Fellowship
  • Industry-aligned curriculum with AWS in cloud computing, data analytics, ML, and AI.
  • Prepares Marines for the data intelligence researcher Military Occupational Specialty (MOS).
  • Credits transferable to NOVA's Associate of Applied Science in Information Systems Technology.
  • AI fellowship programs for training in large language models and mission automation.
USNCC Partnership: Naval-Relevant AI Education
  • NOVA was a founding partner, offering tuition-free associate degrees and certificates to active-duty personnel.
  • Includes pathways like an AS in Data Analytics (WGU) and specialized programs (UMGC).
  • Standalone credentials such as Data Analytics Foundations and AI Foundations Certificates.
  • Focus on naval-relevant applications for maritime warfighting operations.
Regional AI Instruction Initiatives
  • Works with Virginia State University and Brightpoint Community College to integrate AI into CS pathways.
  • Supported by a $250,000 grant from the State Council of Higher Education for Virginia.
  • NOVA’s AI and Data Analytics Career Studies Certificate prepares students for CompTIA Data+ and Microsoft Certified: Data Analyst Associate.
Transferring to George Mason University
The ADVANCE Pathway: Your Seamless Road to Mason
The ADVANCE program is a specialized partnership between NOVA and Mason designed to streamline your journey to a bachelor's degree, ensuring a smooth and efficient transition.
Key Transferable Courses for AI & Data Analytics CSC
Mason offers direct equivalency for core technical courses in the B.S. in Information Technology and related fields if specific grade standards are met.
Opportunities for Dual Enrollment (DE) Students
Accelerate Your Career Before High School Graduation
Early Access to AI Skills
Gain essential knowledge in high-demand fields like Machine Learning and Data Analytics as early as your junior or senior year.
Cost-Free College Credit
Students taking DE courses at their high school do not pay tuition for these NOVA credits, saving significant costs.
Industry Credential Prep
The curriculum prepares you for global certifications like CompTIA Data+, Microsoft Certified: Data Analyst Associate, and Google Data Analytics.
Seamless Transitions
DE credits earned at NOVA are part of an official college transcript, easily transferable to most four-year institutions nationwide.
Advanced Standing
Complete the entire 22-credit AI & Data Analytics CSC while in high school, entering college with nearly a year of specialized coursework already finished.
Micro-credentials: Boost Your Career
Industry-Recognized Certifications Through Strategic Partnerships
Accelerate your professional growth with specialized micro-credentials from industry leaders. NOVA's programs integrate directly with Google, Microsoft, and AWS learning pathways, providing you with in-demand skills and validated expertise.
Google Learning Program and Cloud Skills
Master data analytics, AI, and cloud skills aligned with Google certifications through NOVA's specialized curriculum.
Microsoft Learning Enablement
Develop expertise in data analysis, machine learning, and cloud solutions to earn Microsoft Certified professional credentials.
AWS Academy
Gain foundational to advanced cloud computing skills and prepare for essential AWS certifications for a career in the cloud.
Essential Resources & Links
Navigate your academic journey with these crucial resources for Dual Enrollment students and streamlined transfer pathways to George Mason University.
Top 10 Fastest-Growing Jobs in NOVA & DC Metro
Regional Economic Projections (2025–2034)
Based on data from the U.S. Bureau of Labor Statistics and regional labor market reports, these roles are projected to see the highest percentage of growth in the Washington-Arlington-Alexandria corridor, showcasing where future opportunities lie.
Key Insights
  • AI & Data Dominate: Data Scientists and Information Security Analysts are among the fastest-growing.
  • Diverse Opportunities: Growth extends beyond tech into healthcare and renewable energy.
  • NOVA's Role: Our programs equip students for these high-demand careers, directly aligning with regional workforce needs.
These projections underscore the importance of specialized training in fields like Data Analytics and IT, preparing students for lucrative and impactful roles.
Sources & Quick Links
Got Questions?
If you have any inquiries about the AI & Data Analytics programs, strategic partnerships, or seamless transfer opportunities, please don't hesitate to reach out.
Email me directly:
I look forward to connecting with you and supporting your academic and career journey in AI and Data Analytics.