Institute of Science and Technology · Computer Science and Engineering (%30 English) · Master
Course Objective
The course aims to introduce graduate students to the field of data analysis and visualization. The main objective of the course is to equip you with the tools that will enable you to be an independent data analyst by covering state-of-the-art in data modeling, analysis and visualization techniques.
Course Content
The course includes both theoretical and practical topics for students. Python programming language is used to program different modeling and visualization techniques. At the end of the course, students will be able to visualize data effectively by performing quick data analysis via designing visualization system for large datasets. Data transformations, time series analysis, exploratory querying, exploratory spatial data analysis and statistical graphics will be covered mainly.
Course Learning Outcomes
- Understand basics of data analysis and visualization.
- Know human perceive information and how computers display information.
- Perform data analysis and modeling for large datasets.
- Apply design principles for a variety of statistical graphics and visualizations including scatterplots, line charts, and histograms.