Information Package / Course Catalogue
Data Analytics and Statistical Analysis
Course Code: KBU109
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

To ensure that participants learn about basic statistics and the importance of statistical knowledge in the field of data science.

Course Content

Basic statistical concepts, statistical measurement techniques and the purposes of statistical analyses are explained in the training. Why statistical analysis is important and which statistical tests can be used in which data sets are detailed in the training content.

Name of Lecturer(s)
Ins. Neslihan BİLİNMEZ
Learning Outcomes
1.Processing and analyze data.
2.Creating effective charts using data visualization tools.
3.Building simple regression and classification models
4.Understanding the general functioning of data science projects.
5.Ability to Apply Computational Methods
Recommended or Required Reading
1.Inferential Statistics, Alfa Aktuel Publications, Erkan Işığıçok
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic statistical concepts
Week 2 - Theoretical
Statistics and data science
Week 3 - Theoretical
Advanced descriptive statistical parameters
Week 4 - Theoretical
Data cleaning methods
Week 5 - Theoretical
Outlier analysis methods
Week 6 - Theoretical
Data visualization methods
Week 7 - Theoretical
Data visualization methods
Week 8 - Theoretical
Hypothesis testing
Week 9 - Theoretical
Nonparametric tests
Week 10 - Intermediate Exam
Midterm Exam
Week 11 - Theoretical
Variance Analysis
Week 12 - Theoretical
Relationship Analysis Method
Week 13 - Theoretical
Estimation Methods
Week 14 - Theoretical
Classification Methods
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Assignment25010
Midterm Examination117017
Final Examination117017
TOTAL WORKLOAD (hours)100
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
PÇ-13
OÇ-1
5
4
5
OÇ-2
5
4
OÇ-3
5
5
OÇ-4
4
4
OÇ-5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026