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NİĞDE ÖMER HALİSDEMİR UNIVERSITY
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NİĞDE VOCATIONAL SCHOOL OF TECHNICAL SCIENCES / ROBOTICS AND ARTIFICIAL INTELLIGENCE / RYZ2024 -
GENERAL INFORMATION ABOUT THE COURSE
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Practical
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Course Objective
Students should be able to understand data analysis approaches and develop basic processing and interpretation skills in big data environments.
Brief Content of the Course
Data lifecycle, cleaning and transformation, exploratory analysis, visualization, essential modeling concepts, big data fundamentals, data-intensive application approach, distributed computing and simple pipelines
Prerequisites
Course Objectives
Course Objectives
1
To explain data collection, cleaning, and transformation steps.
2
To apply exploratory data analysis and visualization.
3
To use basic statistical measures and modeling concepts.
4
To define big data concepts and architectural components.
5
To design basic distributed data-processing workflows.
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