Course Information

Course Name	Turkish	İklim Bilimciler için Veri Analizi
	English	Data Analys.for Climate Scie.
Course Code	YSB 575E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	1	3	3	-	-
Course Language		English
Course Coordinator		Alper Ünal
Course Objectives		1. To build a solid foundation in quantitative understanding of concepts and principles of data analysis methods by introducing statistical methods 2. To provide students necessary tools to conduct scientifically sound analysis
Course Description		This course aims to provide solid foundation for the students conducting research in climate sciences. After successfully completing the course, students will have the skills to process raw data, conduct analysis using the right statistical models and make visual representations. Course will also teach programming in R and Python environments.
Course Outcomes		Ph.D. students who take this course gain knowledge, skills and proficiency in the following subjects 1. Learn how to summarize and present data in meaningful manner 2. Learn to interpret statistics commonly used for environmental data and discuss the findings 3. Learn how to choose and implement statistical models 4. Learn to examine real-life case studies, analyze and investigate the results 5. Learn how to use the modern data analysis tools (R and Python)
Pre-requisite(s)
Required Facilities
Other
Textbook		Statistical Methods in Atmospheric Sciences, Daniel S. Wilks, Elsevier 2011
Other References		1. Using Multivariate Statistics, Barbara G. Tabachnick and Linda S. Fidell, Sixth Ed. John Pearson 2013 2. Python for Data Analysis, Wes McKinney, O'Reilly, 2013 3. R for Data Science, Garrett Grolemund, Hadley Wickham, O’Reilly, 2017.

Courses

Help

About