Business Analytics
Advanced analytics techniques, data-driven decision making, and business intelligence strategies.
My teaching philosophy centers on clarity, engagement, and iterative learning with frequent formative feedback and real-world applications. I believe in creating an inclusive learning environment that combines theoretical foundations with practical, hands-on experience.
Advanced analytics techniques, data-driven decision making, and business intelligence strategies.
AI applications in business, machine learning fundamentals, and ethical AI implementation.
Python programming, SQL database development, and data engineering principles.
Research methodology, ethics in data science, and program evaluation techniques.
Introduction to Python programming with a focus on data analysis and business applications.
Database design, SQL query writing, and data management principles.
Understanding and implementing AI solutions in business contexts.
Advanced data manipulation, cleaning, and preparation techniques.
Integration of platforms like DataCamp, hands-on workshops, and real-world project work.
Partnership with industry leaders to provide students with real-world experience and networking opportunities.