Algorithm Analysis Courses and Certifications

Packt Career Certificate

Data Structures & Algorithms in JavaScript

Master data structures and algorithms in JavaScript, covering Big O notation, recursion, sorting, linked lists, and more to ace coding interviews and solve real-world problems.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Packt

Sorting Algorithms, Complexity Analysis, and Optimization

Master sorting algorithms from basic to advanced, analyze time/space complexity, and solve optimization problems with hands-on examples and mathematical foundations.

• Coursera
• 9 hours 53 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Data Structures and Algorithms in JavaScript

Master data structures and algorithms in JavaScript, covering Big O notation, arrays, linked lists, hash tables, and sorting, with hands-on Leetcode practice for coding interview success.

• Coursera
• 13 hours
• Self-Paced
• Paid Course

Packt

Algorithms and Problem-Solving in JavaScript

Master algorithmic thinking and problem-solving in JavaScript through hands-on exercises, from basic string manipulation to advanced LeetCode challenges and Big O optimization.

• Coursera
• 10 hours 10 minutes
• Self-Paced
• Paid Course

EDUCBA

GNU Octave: Apply, Implement & Design Functions

Master GNU Octave installation, numerical computations, matrix manipulation, control structures, and function design for scientific computing and data analysis applications.

• Coursera
• 6 hours 2 minutes
• Self-Paced
• Paid Course

Coursera

Analyze and Optimize Fusion Algorithms

Master computational complexity analysis and optimization techniques for fusion algorithms in multimodal AI systems to dramatically improve performance and reduce resource usage.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Coursera

Manage Binary Trees for Java Performance

Master Binary Search Trees in Java to build high-performance applications, optimize runtime efficiency, and prevent bottlenecks through balancing techniques and complexity analysis.

• Coursera
• 5 hours 13 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Big O notation: Python to Rust

Master algorithmic complexity for Python-to-Rust transitions, analyzing Big O notation, data structures, profiling tools, and performance trade-offs to justify rewrites with quantitative evidence.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Theory of Computation

Explore computability and complexity theory, covering languages, decidability, reducibility, computational measures, completeness, hierarchies, oracles, probabilistic computation, and interactive proof systems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Mathematics for Computer Science

Master discrete mathematics fundamentals for computer science including logic, graph theory, algorithms, cryptography, and probability with MIT's comprehensive approach.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena: Asymptotics

Dive into mathematical modeling of transport phenomena with asymptotic analysis techniques for heat transfer, fluid dynamics, and chemical reactions.

• MITx Online
• 2 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Analysis of Transport Phenomena

Master mathematical modeling techniques for transport phenomena, covering scaling, asymptotics, fluid mechanics, convection, and electrochemical transport in this graduate-level introduction.

• MITx Online
• 5 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Fundamental Data Structures & Algorithms using C language.

985 ratings at Udemy

Learn Data Structures and algorithms for Stack, Queue, Linked List, Binary Search Tree and Heap ( using C Programming ).

• Udemy
• 15 hours 42 minutes
• Self-Paced
• Paid Course

Complete Algorithms Complexity and Big O Notation Course

938 ratings at Udemy

Master algorithm complexity evaluation and Big O notation through practical examples, including solutions to FAANG interview questions and recursive algorithms analysis.

• Udemy
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Digital Signal Processing (DSP) From Ground Up™ in C

839 ratings at Udemy

Practical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, Chebyshev filters etc

• Udemy
• 7 hours 47 minutes
• Self-Paced
• Paid Course