Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Faculty of Economics and Administrative Sciences
  • Department of Economics
  • Course Structure Diagram with Credits
  • Economic Data Analytics
  • Learning Outcomes
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods

  • General features related to data science will be listed.
  • Distinguish the concepts related to data science
  • Gain knowledge about the importance of data science.
  • Gain knowledge about the usage areas and method of data science.
  • Features related to macroeconomic and microeconomic data will be listed.
  • Gains knowledge of what microeconomic data is and in which areas it is used.
  • Gains knowledge of what macroeconomic data is and international data.
  • Obtaining the sources related to the two data, will have information about how to search in the literature.
  • Knowledge of data mining and big data will be mastered.
  • Have knowledge about what data mining is.
  • Explain the usage areas and applications of big data.
  • Establish the connection between data mining and big data.
  • You will be informed about the steps for the active use of data.
  • Determine what to pay attention to in the selection of data to be used in the application.
  • Learn how to transform the obtained data according to the needs.
  • Have an idea about how to present and visualize the data for a healthy interpretation.
  • The economic use of data is mastered.
  • Learn how to use and interpret data within the framework of economic models.
  • Determine how to use statistical science in order to establish the statistical basis of the data.
  • Explain how and in what direction the data will be measured for a specific purpose.
  • The importance of econometrics and mathematical techniques will be comprehended.
  • Gain knowledge of econometrics, which allows the economic interpretation of data.
  • Gain knowledge of econometrics, which allows the economic interpretation of data.
  • Determine the usage areas of data in econometrics.
  • Master the mathematical techniques required for data processing.
  • An idea will be gained about obtaining results from data through programs.
  • Have knowledge about how to process data in Excel.
  • Gains knowledge of the usage of package programs that are used in the modeling of data.
  • Have an idea about how to use the existing data economically.

  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations