Institute of Science and Technology · Computer Science and Engineering (%30 English) · Doctorate
ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator:
Course Objective
This is an advance course for learning exploratory data analysis using machine learning and deep learning based data analysis will be performed. The course will have hands-on lab sessions with some real-world case studies.
Course Content
The course aims to provide fundamentals of data science and provide practical solutions to real problems. We will develop a foundation of the data science in first few weeks followed by visualization techniques implemented using python 3. Further, exploratory data analysis and machine learning and deep learning based data analysis will be performed. The course will have hands-on lab sessions with some real-world case studies.
Course Learning Outcomes
- Introduction to the fundamentals of data science
- Data visualization techniques
- Provide insights into data using Predictive Analytics
- Exploratory data analysis using Machine learning techniques
- Hands on using Python programming language
- Real applications as case studies
Core Area Distribution
(46) Mathematics and Statistics%20 (48) Computing%80