Information Package / Course Catalogue
Applied Data Analysis
Course Code: ECON425
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

This course aims to teach students the basic principles and methods of data analysis. Using common software such as Eviews, Stata, Gauss, Phyton and R, students will be introduced to data preparation, cleaning and basic analyses. Students will develop skills in analysing, interpreting and reporting economic data.

Course Content

This course focuses on data set preparation. For this purpose, students are taught the processes such as preparation, processing and cleaning of raw data sets to be used in studies involving statistical or econometric analysis. Within the scope of the course, topics such as basic statistical analyses, descriptive statistics, data evaluation with graphs will be covered.

Name of Lecturer(s)
Lec. Ahmet ÜNLÜ
Learning Outcomes
1.Students will gain the ability to prepare, clean and analyse data sets using Eviews, Stata, Gauss, Phyton and R softwares.
2.Students will learn how to visualize data with graphs and calculate descriptive statistics and will be able to interpret their basic outputs.
3.Students will develop the ability to analyse economic data and interpret the results by applying basic econometric methods.
4.Students will gain the ability to sort and interpret data sets.
5.Students will develop skills in analysing data, interpreting results and preparing analysis reports by doing hands-on projects on real data sets.
Recommended or Required Reading
1.Yıldırtan, D. Ç. (2010). Eviews Uygulamalı Temel Ekonometri. Türkmen Kitabevi.
2.Satman, M. H. (2018). İstatistik ve Ekonometri Uygulamaları ile R. Türkmen Kitabevi.
3.Atan, S. ve Emekçi, H. (2021). İktisat ve İşletme Uygulamaları için R ile Veri Analizi (İstatistik-Modelleme-Uygulama-Yayınlama). Seçkin Yayıncılık.
4.Güriş, B., Çağlayan, E. ve Güriş, S. (2011). Eviews ile Temel Ekonometri. Ders Yayınları.
Weekly Detailed Course Contents
Week 1 - Theoretical
Data Analysis, Data types, Data collection. Relationship between Statistics, Econometrics and Data Analysis
Week 2 - Theoretical
Basic Statistical Concepts, Descriptive Statistics, Data Visualisation Operations
Week 3 - Theoretical
Menu-Based and Code-Based Softwares: Overview of Eviews, Stata, Gauss , Phyton, and R.
Week 4 - Theoretical
Introduction to Eviews
Week 5 - Theoretical
Data Analysis in Eviews
Week 6 - Theoretical
Data Analysis in Eviews
Week 7 - Theoretical
Introduction to Stata
Week 8 - Theoretical
Data Analysis in Stata
Week 9 - Theoretical
Converting Data to Matrix Format
Week 10 - Theoretical
R Programına Giriş
Week 11 - Theoretical
Introduction to Gauss
Week 12 - Theoretical
Introduction to Phyton
Week 13 - Theoretical
Data Analysis in Phyton
Week 14 - Theoretical
Data Visualization in Phyton
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory143384
Midterm Examination110313
Final Examination120323
TOTAL WORKLOAD (hours)120
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
OÇ-1
4
4
4
3
3
3
3
4
4
3
OÇ-2
3
3
3
2
4
4
3
3
3
2
OÇ-3
5
5
5
4
5
4
4
5
5
4
OÇ-4
4
4
5
3
4
3
3
4
4
3
OÇ-5
5
5
5
4
5
4
4
5
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026