Certificate in Algorithms for Modern Streaming Applications
-- viewing nowThe 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.
7,204+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• 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.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate