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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 Business Administration
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  4. R Programming and Data Analytics
  5. Description
  • Description
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Last Updated: 24/10/2025

Code - Course Title Course Type Laboratory + Practice ECTS
İŞL462 - R Programming and Data Analytics VIII. SEMESTER 2 +0 5.0
Language of Instruction Türkçe
Course Type Area Elective Courses
Course Instructor(s) PROF. DR. FİKRET ER
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites None
Courses Recomended None
Recommended Resources R Guide Books
Work Placement None
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to R
Week - 2 Simple manipulations; numbers and vectors
Week - 3 Objects, their modes and attributes
Week - 4 Ordered and unordered factors.
Week - 5 Arrays and matrices
Week - 6 Lists and data frames
Week - 7 Case Study
Week - 8 Case Study
Week - 9 Reading data from files .
Week - 10 Probability distributions
Week - 11 Grouping, loops and conditional execution
Week - 12 Writing your own functions
Week - 13 Statistical models in R.
Week - 14 Graphical procedures

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