
| 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 |
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.
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.
| Lec. Ahmet ÜNLÜ |
| 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. |
| 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. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Midterm Examination | 1 | 10 | 3 | 13 |
| Final Examination | 1 | 20 | 3 | 23 |
| TOTAL WORKLOAD (hours) | 120 | |||
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 |