Course Code & Number
ADA 403
Course Title
Exploratory Data Analysis
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Year of Study:
Senior
Semester:
Fall
Type of Course:
Elective
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Types of Data. Graphical and Tabular Representation of Data. Exploratory Data Analyses for Large and High-Dimensional Data. Analysis of Categorical Data. Handling Missing Data. Applications in R.
Course Objectives
Developing research questions. Presenting and analysing data. Conducting exploratory analysis. Modelling. Dealing with problems in data such as multicollinearity, confounding or missing data.
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
1. Develop research question and provide a link between statistics and research area.
2. Clean, transform, visualize, interpret and present data.
3. Conduct exploratory data analysis to understand and the data.
4. Present results of data analysis for a non-specialist audience.
5. Work with unexpected structures –multicollinearity, confounding- in data.
Course Coordinator:
Dr. Seyit Mümin Cılasun