Information Package / Course Catalogue
Data Science and Machine Learning With Python
Course Code: MYL630
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of the course is to provide students with an introduction to data science and machine learning using the Python programming language. Students will learn basic Python commands and topics that provide an introduction to data science and machine learning with the Python programming language. The course will help students understand the use of basic Python commands and how to apply these commands to data science and machine learning. The basic concepts of data science and the working principles of machine learning algorithms will be explained to the students. In addition, students will learn fundamental data science and machine learning concepts such as extracting summary statistics from datasets using Python, summarizing and visualizing data, testing arrangements and reliability in datasets, developing, training and predicting machine learning models.

Course Content

"Data Science and Machine Learning with Python" is designed as a course that covers the fundamentals of data science and machine learning. Students will receive extensive training in the Python programming language, which can be used in data science, machine learning and deep learning. The course will include teaching the basic concepts of the Python programming language and will cover the use of specialized libraries in Python that can be used for data science and machine learning. Within the scope of the course, topics such as data visualization, data exploration, feature selection, prediction models, and model performance evaluation will be covered, among the core areas of data science using Python. In addition, information about Python libraries used in deep learning and machine learning are also given.

Name of Lecturer(s)