Professional Certificate in Data Mining for Connected Systems
-- ViewingNowThe Professional Certificate in Data Mining for Connected Systems is a comprehensive course designed to equip learners with essential skills in data mining for interconnected devices. This program is critical in today's data-driven world, where the ability to extract valuable insights from large data sets is highly sought after.
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⢠Unit 1: Introduction to Data Mining - Fundamentals, types, and applications of data mining, data preprocessing, data mining process, evaluation metrics.
⢠Unit 2: Data Preparation for Data Mining - Data cleaning, integration, transformation, reduction, and dimensionality reduction techniques.
⢠Unit 3: Machine Learning Algorithms for Data Mining - Supervised, unsupervised, and reinforcement learning, regression, classification, clustering, and association rule mining.
⢠Unit 4: Big Data Mining - Big data frameworks, NoSQL databases, data warehouses, MapReduce, Hadoop, and Spark for data mining.
⢠Unit 5: Time Series Data Mining - Time series analysis, forecasting, anomaly detection, and pattern recognition.
⢠Unit 6: Spatial and Text Data Mining - Spatial and text data preprocessing, clustering, and classification techniques.
⢠Unit 7: Data Mining for IoT and Connected Systems - Data mining in IoT, sensor networks, and real-time data mining.
⢠Unit 8: Data Mining Ethics and Privacy - Ethical considerations, data privacy, and security in data mining.
⢠Unit 9: Data Mining Applications and Case Studies - Data mining applications in business, healthcare, social media, finance, and manufacturing.
⢠Unit 10: Data Mining Tools and Software - Weka, RapidMiner, KNIME, R, Python, and MAT
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