Print Content

Course Information

Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
DATA ANALYSIS	İST402		0 + 0	4.0	5.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Graduate Degree
Course Type	Compulsory
Mode of delivery	Presentations of theory, method and applications, projects, home works, media usage of computer and statistical calculation, evaluations of applications
Course Coordinator
Instructors
Assistants
Goals	To collect the statistical data, analysis and comments about concept, to teach the methods and application approach
Course Content	Data structures, types and organization, to be determined of suitability of data for parametric and nonparametric methods and models, the methods of achieving all information about population and usage of data
Learning Outcomes	1) Arranges numbers graphically in such a way that directly pointing out various species of data. 2) Knows techniques using to summurize data set 3) Builds up intuitively apprehension capability for resembles and differences between data sets. 4) Recognizes graphical methods and statistical tests using for deciding distribution of data set. 5) Makes data set transformations for doing some statistical analyses when data set does not come from normal distribution, 6) Recognizes and uses notion of outlier and methods of deciding outliers 7) Recognizes and implements statistical techniques using when there is outlier 8) Implements alternative regression techniques. 9) Recognizes alternative location estimators.