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Course Information

Course Name
Turkish Veri Analizi Temelleri
English Fundamentals of Data Analysis
Course Code
BTE 577E Credit Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester 2
3 3 - -
Course Language English
Course Coordinator Tolga Ovatman
Course Objectives 1. Teaching basic data processing concepts for extracting information from data.
2. Teaching basic estimation models for performing predictions based on data.
3. Teaching basic experimentation methods to interprete data analysis.
Course Description A course on basic data science concepts, data exploration and visualization. Database segmentation and interpretation of the segments, estimation models, decision trees and random forests, comparison of estimation models and estimation modeling on massive scale, processing non-structural data, text mining and social networks, experiment setup for data processing, analysis of experimental results and presentation of experiment outcomes.
Course Outcomes 1. An ability to grasp basic data analysis concepts
2. An ability to get familiar with data exploration and data visualization
3. An ability to understand data segmentation
4. An ability to understand estimation models and prediction by data analysis
5. An ability to use decision trees and forests in prediction
6. An ability to design expreiments on data analysis
7. An ability to process non structural data
8. An ability to understand presentation of experiment outcomes
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References
 
 
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