Information Package / Course Catalogue
Human Resources Analytics
Course Code: İKY114
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: Students are required to complete their mandatory internships within the specified period (30 business days) and according to the rules stated in the Aydin Adnan Menderes University Sultanhisar Vocational School student internship guidelines.
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 3
Objectives of the Course

As technology advances, it has become necessary for businesses to fully and efficiently utilize their capabilities in order to gain a competitive edge in the business world. In order for this to be achieved, information processing processes integrated as decision support systems also play an important role. Human resources analytics aims to statistically analyze the workforce within the organization, apply advanced analytical models for reporting purposes, and transform the available big data into meaningful insights. In this context, the course aims to provide information on the use of analytical techniques and models, recruitment analytics, talent analytics, employee performance analysis, competency acquisition analytics, employee attrition analytics, corporate culture analytics, capacity analytics, and leadership analytics.

Course Content

Information is provided on the use of analytical techniques and models; Introduction and utilization of computer software used for analysis are presented; Recruitment analytics are covered; Talent analytics are discussed; Employee performance analysis is addressed; Competency acquisition analytics are explored; Employee attrition analytics are examined; Corporate culture analytics are explained; Capacity analytics are presented; Leadership analytics are discussed.

Name of Lecturer(s)
Ins. Şinasi YAYLAGÜL
Learning Outcomes
1.The HR analytics is learned and its strategic importance in terms of gaining a competitive advantage is understood.
2.In HR analytics, one acquires knowledge of modeling.
3.In HR analytics, one acquires knowledge of data analytics.
4.Can make an entry-level HR analytics application with SPSS software.
5.Can make an entry-level HR analytics application with Excel software.
Recommended or Required Reading
1.Calik, E., & Demir, K. (2020). Insan Kaynaklari Analitigi - Modelleme ve Ornek Uygulamalarla. Nobel Bilimsel Eserler.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Key Concepts of HR Analytics
Week 2 - Theoretical & Practice
Development, Purpose and Importance of HR Analytics
Week 3 - Theoretical & Practice
Application of HR Analytics and Considerations
Week 4 - Theoretical & Practice
Major Approaches to the Application of HR Analytics in Businesses
Week 5 - Theoretical & Practice
Criticisms, Issues and Suggestions in HR Analytics
Week 6 - Theoretical & Practice
HR Analytics by HR Functions: HR Planning, Recruitment, Training and Development
Week 7 - Theoretical & Practice
HR Analytics by HR Functions: Wage Management, Performance Management, Talent Management, Job Satisfaction, Employee Work-Life Quality
Week 8 - Theoretical & Practice
Basic Excel Usage in HR Analytics
Week 9 - Theoretical & Practice
Basic Excel Usage in HR Analytics
Week 10 - Theoretical & Practice
Basic Excel Usage in HR Analytics
Week 11 - Theoretical & Practice
Basic Excel Usage in HR Analytics
Week 12 - Theoretical & Practice
Basic Excel Usage in HR Analytics
Week 13 - Theoretical & Practice
Advanced Excel Usage in HR Analytics
Week 14 - Theoretical & Practice
Reporting with Excel in HR Analytics
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment2204
Midterm Examination1415
Final Examination19110
TOTAL WORKLOAD (hours)75
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
OÇ-1
5
4
3
4
5
3
5
4
5
5
5
OÇ-2
4
5
4
5
5
5
3
5
4
5
5
OÇ-3
5
4
5
4
5
4
5
4
5
5
3
OÇ-4
4
5
4
5
3
5
4
3
4
4
3
OÇ-5
5
5
5
4
5
4
5
4
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026