Information Package / Course Catalogue
Basic Data Visualization and Reporting
Course Code: YZO205
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 1
Credit: 2
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this course is to teach students the basic concepts and techniques of business intelligence and data visualization and to help them develop data analysis and reporting skills.

Course Content

Examples of business intelligence and data visualization applications Data analysis and reporting methods Use and features of business intelligence tools

Name of Lecturer(s)
Learning Outcomes
1.Students will understand and be able to apply the principles of business intelligence and data visualization.
2.Students will be able to analyze data using different data visualization tools and techniques.
3.Students will be able to use business intelligence applications in real life.
4.Students will become aware of the ethics of data visualization and business intelligence.
5.Students will be able to analyze business intelligence and data visualization problems and produce solutions.
Recommended or Required Reading
1.Alberto Cairo, The Truthful Art: Data, Charts, and Maps for Communication
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to business intelligence and data visualization concepts
Week 2 - Theoretical
Data collection and data sources
Week 3 - Theoretical
Data cleaning and data preparation techniques
Week 4 - Theoretical
Data visualization tools and techniques
Week 5 - Theoretical
Graphic and table design
Week 6 - Theoretical
Data visualization principles and effective communication
Week 7 - Theoretical
Business intelligence and data visualization ethics and issues
Week 8 - Theoretical
Examples of business intelligence and data visualization applications (Midterm exam)
Week 9 - Theoretical
Examples of business intelligence and data visualization applications
Week 10 - Theoretical & Practice
Data analysis and reporting methods
Week 11 - Theoretical
Use and features of business intelligence tools
Week 12 - Theoretical
Sample scenarios for data visualization and business intelligence projects
Week 13 - Theoretical
In-depth study of data analysis and reporting methods
Week 14 - Theoretical
Comparison of business intelligence and data visualization tools and selection process
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%10
Quiz1%10
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140114
Assignment129130
Quiz129130
Midterm Examination130131
Final Examination130131
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
5
5
5
4
5
5
4
5
4
3
3
4
OÇ-2
4
4
4
4
5
4
5
4
3
3
4
4
OÇ-3
5
5
5
4
5
4
5
4
5
3
4
5
OÇ-4
4
5
5
4
5
4
5
4
5
4
5
5
OÇ-5
5
5
5
4
5
4
5
4
5
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026