Akademik Dersler - Tanıtım


Code - Course Title	İST552 - R For Data Science
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOÇENT DOKTOR MUSTAFA ÇAVUŞ
Mode of Delivery	FACE TO FACE
Prerequisites	NONE
Courses Recomended	NONE
Required or Recommended Resources	Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. \" O\'Reilly Media, Inc.\".
Recommended Reading List	Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. \" O\'Reilly Media, Inc.\".
Assessment methods and criteria	MIDTERMHOMEWORKFINAL
Work Placement	NONE
Sustainability Development Goals

Weeks	Topics
Week - 1	What is data science?
Week - 2	Visualization with ggplot
Week - 3	Visualization with ggplot
Week - 4	Data manipulation with dplyr
Week - 5	Data manipulation with dplyr
Week - 6	Explanatory data analysis
Week - 7	tidyverse package
Week - 8	tidyverse package
Week - 9	tidyverse package
Week - 10	lubridate package
Week - 11	magrittr package
Week - 12	modelr package
Week - 13	RMarkdown basics
Week - 14	RMarkdown formats

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	20
2.Midterm Exam	1	30
Final Exam	1	50
Toplam (%)		100