Certificate in Algorithms for Modern Streaming Applications
-- ViewingNowThe Certificate in Algorithms for Modern Streaming Applications is a comprehensive course designed to equip learners with essential skills for career advancement in the data-driven industry. This program focuses on modern streaming algorithms, their applications, and real-world use cases, making it highly relevant and in-demand in today's technology-driven world.
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โข Basic Data Structures & Algorithms: This unit covers fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, and algorithms including sorting, searching, and graph traversal.
โข Streaming Algorithms: This unit focuses on algorithms designed for processing data streams, including those for counting distinct elements, heavy hitters, and quantiles.
โข Linear Algebra for Algorithms: This unit covers the fundamentals of linear algebra and its applications in algorithms, including matrix multiplication, eigenvalues and eigenvectors, and singular value decomposition.
โข Machine Learning Algorithms for Streaming Data: This unit covers the fundamentals of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, and neural networks, and their applications in streaming data.
โข Probability and Statistics for Streaming Data: This unit covers the fundamentals of probability and statistics, including random variables, probability distributions, hypothesis testing, and confidence intervals, and their applications in streaming data.
โข Distributed Algorithms for Streaming Data: This unit covers algorithms for processing streaming data in distributed systems, including those for data partitioning, load balancing, and fault tolerance.
โข Real-time Analytics for Streaming Data: This unit covers the fundamentals of real-time analytics, including data ingestion, data processing, data aggregation, and data visualization, and their applications in streaming data.
โข Security and Privacy in Streaming Data: This unit covers the fundamentals of security and privacy in streaming data, including data encryption, data anonymization, and access control, and their applications in streaming data.
โข Advanced Topics in Algorithms for Streaming Data: This unit covers advanced topics in algorithms for streaming data, including sketching techniques, compressed sensing, and graph algorithms.
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