Global Certificate in Data Mining & Physics: Global Challenges
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⢠Data Mining Fundamentals · Understanding data types, data cleaning, data preprocessing, data visualization, and data exploration.
⢠Statistical Methods in Data Mining · Descriptive and inferential statistics, probability distributions, statistical inference, and hypothesis testing.
⢠Machine Learning Algorithms in Data Mining · Supervised and unsupervised learning, decision trees, random forests, support vector machines, and neural networks.
⢠Big Data Analytics · Distributed computing, Hadoop, Spark, NoSQL databases, and cloud computing.
⢠Data Mining Applications · Fraud detection, customer segmentation, recommendation systems, and predictive analytics.
⢠Physics of Data Mining · Quantum mechanics, chaos theory, and computational physics in data mining.
⢠Physics and Global Challenges · Climate change, renewable energy, and healthcare from a physics perspective.
⢠Data Mining in Physics Research · Data-driven discovery in physics, simulations, and modeling.
⢠Ethics and Regulations in Data Mining · Data privacy, security, bias, and legal considerations.
⢠Capstone Project in Data Mining and Physics · Designing, implementing, and presenting a data mining project related to global challenges in physics.
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