Anadolu Info Package Anadolu Info Package
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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. Graduate School
  2. Department of Business Administration
  3. PhD in Quantitative Methods
  4. Course Structure Diagram with Credits
  5. Data Analysis
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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Last Updated: 17/10/2026

Code - Course Title Course Type Laboratory + Practice ECTS
SAY613 - Data Analysis I. SEMESTER 3 +0 7.5
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. ALİ ÖZDEMİR
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery On Campus
Used Educational Platforms Face-to-face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources Myatt, Glenn J., Making Sense of Data, A Practical Guide to Exploratory Data analysis and Data Mining,2007, John Wiley & Sons, New JerseyField, A., 2009, Discovering Statistics Using SPSS, 3 rd edition, Sage.
Work Placement Internship is not suitable for this course.
Aims of the Course The course aims to cover the collection of data from data sources, coding, and preparing data for analysis.

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 LO-1 Basic language of statistics Lecture Question & Answer Discussion
Week - 2 LO-1 Conversion of data to information Lecture Question & Answer Discussion
Week - 3 LO-1 Data pre-processing Lecture Question & Answer Discussion
Week - 4 LO-1 Data pre-processing Lecture Question & Answer Discussion Case Study
Week - 5 LO-2 Tables and graphs Lecture Question & Answer Discussion
Week - 6 LO-2 Tables and Graphs Lecture Question & Answer Discussion Problem Solving
Week - 7 LO-1 LO-2 Presentation Question & Answer Discussion Problem Solving
Week - 8 LO-2 LO-3 Descriptive Statistics Lecture Question & Answer Discussion Problem Solving
Week - 9 LO-3 Inferential statistics Lecture Question & Answer Discussion
Week - 10 LO-3 Inferential statistics Lecture Question & Answer Discussion Case Study
Week - 11 LO-3 Grouping methods Lecture Question & Answer Discussion Case Study
Week - 12 LO-3 Grouping Methods Lecture Question & Answer Discussion
Week - 13 LO-3 Predictive Modelling Lecture Discussion Case Study Problem Solving
Week - 14 LO-3 Presentation Discussion Problem Solving Practice/Practical Work/Workshop Document/Text/Data Analysis

  • Quality Education

  • Data Science

  • Open-Ended Test Homework Presentation

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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