Business Intelligence
Engineering Title: Computer Security. Semester: 05.
TU Title:
Subject Title: Business Intelligence.
Recommended Prior Knowledge: Business notions.
Course Content: Business Intelligence (BI) is a crucial aspect of modern business strategy, focusing on the utilization of data-driven insights to make informed decisions and gain a competitive advantage. This course introduces students to the concepts, technologies, and practices of BI, covering topics such as data warehousing, data mining, analytics, visualization, and decision support systems. Through lectures, case studies, and hands-on projects, students will learn how to collect, analyze, and interpret data to support organizational decision-making and improve business performance.
Course Content:
- Introduction to Business Intelligence.
- Data Warehousing and ETL Processes.
- Data Modeling and Dimensional Design.
- Data Mining and Predictive Analytics.
- BI Tools and Technologies.
- Advanced Analytics and Big Data.
- Business Intelligence Applications and Case Studies.
TU Title:
Subject Title: Business Intelligence.
Recommended Prior Knowledge: Business notions.
Course Content: Business Intelligence (BI) is a crucial aspect of modern business strategy, focusing on the utilization of data-driven insights to make informed decisions and gain a competitive advantage. This course introduces students to the concepts, technologies, and practices of BI, covering topics such as data warehousing, data mining, analytics, visualization, and decision support systems. Through lectures, case studies, and hands-on projects, students will learn how to collect, analyze, and interpret data to support organizational decision-making and improve business performance.
Course Content:
- Introduction to Business Intelligence.
- Data Warehousing and ETL Processes.
- Data Modeling and Dimensional Design.
- Data Mining and Predictive Analytics.
- BI Tools and Technologies.
- Advanced Analytics and Big Data.
- Business Intelligence Applications and Case Studies.