Data Mining
Course Number: 45851
This course provides students with an essential introduction to data mining, focusing on its application in modern business decision-making. Data mining is the process of discovering patterns, relationships, and trends in large datasets using computational techniques. By the end of the course, students will have the skills to analyze complex data, extract actionable insights, and apply these insights to solve business problems.
Key topics include data exploration, visualization, clustering, regression, classification, natural language processing, neural networks, large language models, and time-series forecasting, all implemented using Python. Through a combination of lectures, hands-on labs, and projects, students will develop the technical and analytical skills needed to transform raw data into meaningful business intelligence.
The course emphasizes practical applications, conceptual frameworks, and critical thinking. Students will gain experience in framing business problems, building machine learning models, and presenting findings to non-technical stakeholders. The learning journey culminates in a final group project, where students synthesize their knowledge to address real-world business challenges.
This course is designed for students with a basic knowledge of statistics but does not require prior expertise in data mining or programming. It equips students with a data mining toolkit to address business challenges in a variety of industries.
Degree: MBA
Concentration: Business Technologies
Academic Year: 2023-2024
Semester(s): Mini 2, Mini 4
Required/Elective: Elective
Units: 6