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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Economics and Administrative Sciences
  2. Department of Economics
  3. Course Structure Diagram with Credits
  4. Economic Data Analytics
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İKT225 - Economic Data Analytics III. SEMESTER 3 +0 5.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ MERVE KOCAMAN, DOÇ. DR. İBRAHİM TUĞRUL ÇINAR
Mode of Delivery This course will be conducted face to face.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended programme for this course.
Recommended Resources
Work Placement This is not appropriate for the course.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Data Science
Week - 2 Introduction to Data Science and the Importance of Data
Week - 3 The usage of data: Microeconomic Data, Macroeconomic Data, International Data
Week - 4 Data sources, Data mining, Big data
Week - 5 Measuring data, obtaining data, transforming data
Week - 6 Measuring data, obtaining data, transforming data
Week - 7 Presenting the data, Visualizing the data
Week - 8 Economic models and data
Week - 9 Introduction to statistics: Measuring the data
Week - 10 Introduction to econometrics: The use of data
Week - 11 Mathematical techniques and data
Week - 12 Data processing: MS Excel
Week - 13 Statistics and Econometric Programs
Week - 14 How the economist uses data

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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