Data Analytics and Information ManagementLaajuus (5 cr)
Code: 4A00HH87
Credits
5 op
Objectives
After completing the course, the student can the principles, methods, and tools of knowledge management and data analytics and will be able to apply them to analyze business data and support decision-making. They will be capable of collecting, processing, and preparing data for AI applications, enabling the effective use of information in strategic processes.
The student has the skills to apply AI, knowledge management, and data analytics to solve business challenges. The student can organize, analyze, and present data in an appropriate format. Furthermore, the student understands the importance of data quality and knowledge management in ensuring reliable decision-making, driving business development, and achieving competitive advantage by leveraging the opportunities offered by AI.
Content
• Principles and Practices of Knowledge Management
• Methods and Tools of Data Analytics
• Data Collection and Processing
• Visualization and Analysis
• Opportunities of AI in Data Analytics
• Data-Driven Business Management
Assessment criteria, satisfactory (1-2)
The student recognizes the basic concepts of knowledge management and data analytics, but their practical application remains superficial.
Assessment criteria, good (3-4)
The student is able to apply knowledge management and data analytics methods in various business situations.
Assessment criteria, excellent (5)
The student demonstrates a versatile understanding of the principles and tools of knowledge management and data analytics, and can integrate them into business development.