Course Information

Course Name	Turkish	Veri Bilimi ve Mühendisliğine Giriş
	English	Intro. to Data Science and Eng.
Course Code	YZV 211	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	3	3	3	-	-
Course Language		Turkish
Course Coordinator		Ahmet Cüneyd Tantuğ
Course Objectives		This course provides an overview of Data Science To teach a broad selection of challenges and methodologies for working with data
Course Description		Data collection, cleaning, organization, processing, analytics and visualization. Basics of statistical inference and machine learning. Business intelligence, data warehousing. Data science project lifecycle. Data privacy and security.
Course Outcomes		A student who succeed in this course will: Understand the problems addressed by data science methodologies and their limitations Be able to collect data from various sources, also be able to enrich and process this data Can visualize the data and conduct exploratory analysis Learn the lifecycle of a data science project Get the basics of machine learning techniques Get the basics of statistical inference Understand the usage of data in business domain
Pre-requisite(s)
Required Facilities
Other
Textbook		Jeffrey S. Saltz & Jeffrey M. Stanton (2018). An Introduction to Data Science (First Edition). Sage Publications.
Other References