Each course is carefully structured to build upon the previous, ensuring a comprehensive understanding of the subject matter.
Foundations of Business Analytics
This course provides a comprehensive foundation in business analytics, covering essential concepts, tools, and techniques for data-driven decision making. Students will learn to interpret data, apply analytical methods, and communicate insights to drive business value.
Introduction to Data Science
This course introduces students to the fundamental principles, methodologies, and applications of data science, preparing them to extract insights and inform decisions from complex datasets.
Statistical Methods for Business
This course provides a comprehensive foundation in statistical methods essential for business decision-making, covering data analysis, inference, and predictive modeling.
Principles of Database Management
This course provides a comprehensive understanding of database principles, from foundational concepts to advanced management and application, equipping students with the skills to design, implement, and maintain robust database systems.
Business Communication
This course explores the fundamental theories and practical applications of effective communication within a business context, aiming to develop students' abilities to communicate strategically and professionally.
Microeconomics for Business
This course provides a comprehensive understanding of microeconomic principles and their application to business decision-making, focusing on market dynamics, firm behavior, and strategic interactions.
Programming for Analytics I
This course introduces students to fundamental programming concepts and techniques using Python, specifically tailored for data analysis and analytical problem-solving in a business context. It focuses on developing practical coding skills essential for data manipulation, statistical analysis, and basic machine learning applications.
Financial Accounting
This course provides a comprehensive understanding of financial accounting principles, standards, and practices. Students will learn to analyze, interpret, and prepare financial statements for various stakeholders.
Foundations of Business Analytics
This course introduces students to the foundational concepts, methodologies, and practical applications of business analytics, preparing them to leverage data for informed decision-making.
Statistical Methods for Business
This course provides students with foundational and advanced statistical methods essential for analyzing business data, making informed decisions, and understanding quantitative research in a business context.
Data Visualization and Reporting
This course provides a comprehensive understanding of principles, techniques, and tools for effective data visualization and reporting, enabling students to transform complex data into actionable insights for diverse audiences.
Predictive Modeling
This course provides a comprehensive exploration of statistical techniques and computational methods for building, evaluating, and deploying predictive models across various domains. Students will learn to transform data into actionable insights, addressing complex real-world prediction problems.
Machine Learning for Business
This course explores the fundamental principles and practical applications of machine learning, focusing on its strategic integration within various business contexts to drive innovation and competitive advantage.
Data Warehousing and ETL
This course provides a comprehensive understanding of data warehousing principles, design methodologies, and the Extract, Transform, Load (ETL) process. Students will learn to design, implement, and manage robust data warehousing solutions for business intelligence and analytics.
Operations Management
This course provides a comprehensive understanding of the principles and practices involved in managing operations, from foundational concepts to strategic implementation, to optimize organizational efficiency and effectiveness.
Programming for Analytics II
This course equips students with advanced programming skills essential for data analysis, focusing on practical application and efficient problem-solving in analytics contexts. It covers a range of programming paradigms and tools necessary for transforming raw data into actionable insights.
Business Process Analysis
This course provides students with the essential knowledge and skills to analyze, design, and improve business processes for enhanced organizational efficiency and effectiveness.
Ethical Data Management
This course provides a comprehensive understanding of ethical considerations and best practices in data management, equipping students with the knowledge and skills to navigate complex data landscapes responsibly and effectively.
Data Management and Warehousing
This course provides a comprehensive understanding of principles, technologies, and practices for effective data management and warehousing, equipping students with skills to design, implement, and maintain robust data solutions.
Predictive Modeling and Machine Learning
This course provides a comprehensive understanding of predictive modeling and machine learning techniques, covering theoretical foundations, practical applications, and advanced system integration for data-driven decision making.
Advanced Statistical Analysis
This course provides a comprehensive exploration of advanced statistical methods, focusing on their theoretical underpinnings, practical application, and interpretation in complex research scenarios. Students will develop proficiency in selecting, implementing, and critically evaluating sophisticated statistical models.
Big Data Technologies
This course explores the fundamental principles, technologies, and applications of big data, equipping students with the knowledge to manage and analyze large-scale datasets.
Business Intelligence Systems
This course provides a comprehensive understanding of Business Intelligence (BI) systems, covering their architecture, implementation, and strategic application in modern organizations to drive data-driven decision making.
Strategic Data Analytics
This course explores the principles and applications of data analytics within a strategic business context, focusing on how data-driven insights can inform decision-making and achieve organizational objectives. Students will learn to leverage data for competitive advantage, operational efficiency, and innovation.
AI for Business Applications
This course explores the strategic application of Artificial Intelligence within business contexts, focusing on its potential to drive innovation, optimize operations, and enhance decision-making. Students will gain a comprehensive understanding of AI technologies, their business implications, and the critical considerations for successful deployment and ethical governance.
Project Management for Analytics
This course equips students with the essential knowledge and skills to effectively manage projects specifically tailored for analytics initiatives, from conception through delivery, ensuring successful data-driven outcomes.
Digital Transformation Strategies
This course examines the strategic imperative of digital transformation, focusing on frameworks, technologies, and organizational changes required for businesses to thrive in the digital age. Students will develop a comprehensive understanding of how to plan, implement, and manage digital initiatives.
Applied Business Intelligence Project
This course provides students with the knowledge and skills to design, develop, and implement business intelligence solutions. It covers data acquisition, analysis, visualization, and strategic application within organizational contexts.
Business Intelligence Systems
This course provides a comprehensive understanding of Business Intelligence (BI) systems, covering their foundational principles, conceptual frameworks, practical applications, and advanced analytical techniques to drive informed decision-making.
Data Visualization and Storytelling
This course explores the principles and techniques of effective data visualization, focusing on how to transform complex data into compelling and informative narratives. Students will learn to design, create, and critically evaluate visualizations that effectively communicate insights to diverse audiences.
