Advanced Spreadsheet Engineering (Excel)
This course is designed to transform Excel from a basic spreadsheet tool into a powerful data analysis and decision-making engine. Learners will master advanced formulas, data validation, pivot tables, dashboards, Power Query, and automation techniques to handle large datasets efficiently. The program focuses on real-world business use cases such as financial modeling, reporting, forecasting, and performance analysis, making learners industry-ready.
Relational Database Management (SQL)
This course provides a strong foundation in relational databases and structured query language (SQL), enabling learners to store, retrieve, manipulate, and manage data efficiently. Students will learn database design, normalization, joins, subqueries, indexing, and performance optimization. Practical exercises using real-world datasets prepare learners to work confidently with databases used in analytics, software development, and enterprise systems.
Programming for Data Science (Python)
This course introduces Python as a core programming language for data science and analytics. Learners will gain hands-on experience with Python fundamentals, data structures, data manipulation, and analysis using industry-standard libraries. The course emphasizes writing clean, efficient code and applying Python to solve real data problems, forming a strong base for data analytics, machine learning, and AI-focused careers.
