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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⢠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.
⢠Streaming Algorithms: This unit focuses on algorithms designed for processing data streams, including those for counting distinct elements, heavy hitters, and quantiles.
⢠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.
⢠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.
⢠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.
⢠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.
⢠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.
⢠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.
⢠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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