Executive Development Programme in Data Mining for Physicists
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• Fundamentals of Data Mining: An Introduction to Data Mining Techniques and Algorithms
• Data Preprocessing: Data Cleaning, Data Integration, Data Transformation, and Data Reduction
• Statistical Analysis in Data Mining: Descriptive and Inferential Statistics
• Machine Learning Concepts: Supervised, Unsupervised, and Reinforcement Learning
• Data Mining Tools: Overview and Hands-on Experience with Popular Data Mining Software
• Data Visualization: Techniques and Tools for Visualizing Large Data Sets
• Big Data Analytics: Tools and Techniques for Analyzing Large and Complex Data Sets
• Physics Applications in Data Mining: Case Studies from Particle Physics, Astrophysics, and Condensed Matter Physics
• Ethics in Data Mining: Privacy, Bias, and Fairness Considerations
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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