Executive Development Programme in Data Science & Anomaly Detection
-- ViewingNowThe Executive Development Programme in Data Science & Anomaly Detection is a certificate course designed to empower professionals with the latest tools and techniques in data science. This program focuses on anomaly detection, a critical skill in today's data-driven world, where identifying unusual patterns can prevent cyber threats, fraud, and operational failures.
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⢠Introduction to Data Science: Fundamentals of data science, data mining, and big data analytics. Understanding data science process, data types, and data sources.
⢠Data Analysis and Visualization: Exploratory data analysis, data cleaning, and data preprocessing. Data visualization techniques and tools.
⢠Statistical Methods for Data Science: Descriptive and inferential statistics, probability distributions, and hypothesis testing.
⢠Machine Learning Algorithms: Supervised, unsupervised, and reinforcement learning algorithms. Model selection, training, and evaluation.
⢠Deep Learning and Neural Networks: Artificial neural networks, deep learning architectures, and applications.
⢠Data Science Tools and Technologies: Python, R, SQL, and NoSQL databases. Hadoop, Spark, and cloud computing platforms.
⢠Anomaly Detection Methods: Time series analysis, statistical process control, and machine learning techniques for anomaly detection.
⢠Real-World Applications of Anomaly Detection: Fraud detection, cybersecurity, predictive maintenance, and IoT applications.
⢠Ethics and Governance in Data Science: Data privacy, bias, fairness, and transparency in data science and AI.
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tags for a clean, easy-to-read format. Primary keywords such as "Data Science" and secondary keywords such as "anomaly detection", "machine learning algorithms", and "deep learning" are included where relevant.
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