Algorithm Analysis Courses and Certifications

Sundeep Saradhi Kanthety

How to Calculate Time Complexity with Examples - Part 1

Learn to calculate time complexity with practical examples, focusing on analyzing algorithms efficiently for better problem-solving and optimization in computer science.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Simons Institute

Streaming Lower Bounds for the Needle Problems

Exploring tight lower bounds for frequency estimation in random order data streams, focusing on the needle problem and its implications for streaming algorithm design.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Simons Institute

Pseudorandom Hashing for Space-Bounded Computation with Applications in Streaming

Explores a new pseudorandom generator for space-bounded computation, improving update time in streaming algorithms without sacrificing space. Applications in Fp estimation and CountSketch are discussed.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

HUJI Machine Learning Club

Adversarial Streaming: A Survey of Robust Algorithm Design

Explore the evolution of streaming algorithms from oblivious to adaptive settings, examining robust methods and limitations of CountSketch in adversarial scenarios. Learn key transformation techniques for creating resilient streaming solutions.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Institut Henri Poincaré

Asymptotic Analysis for Selection-Mutation Models: Locations and Weights of Limit Singular Measures

Explore asymptotic analysis of selection-mutation models, focusing on limit singular measures' locations and weights. Gain insights into population dynamics and mathematical biology.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

BIMSA

From Quantum to Continuum - Asymptotic Analysis Across Scales and Toward AI-Assisted Derivations

Explore asymptotic analysis bridging quantum and continuum scales, featuring AI-assisted mathematical derivations in this BIMSA conference presentation.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

BIMSA

Asymptotic-Preserving Schemes for Multiscale Physical Problems

Discover asymptotic-preserving numerical schemes for solving complex multiscale physical problems with computational efficiency and accuracy.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Simple Snippets

What Is Big O Notation and Time Complexity of Algorithms - Algorithm Analysis in Data Structures

1 rating

Comprehensive tutorial on Big O notation, time complexity, and algorithm analysis in data structures. Covers key concepts, practical examples, and calculation methods.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Tech with Tim

BigO Notation and Time Complexity Tutorial - Code Efficiency and Algorithm Analysis

Learn to analyze algorithm efficiency using BigO notation and time complexity. Gain skills to write better code, choose optimal algorithms, and improve overall programming performance.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Algorithmic Thinking (Part 2)

9 ratings

Develop advanced algorithmic skills through divide-and-conquer and dynamic programming techniques. Implement algorithms in Python to analyze real-world datasets, enhancing problem-solving abilities across computational domains.

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

Optimizing Code in Java

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Learn Binary Search in JavaScript

In this course, you'll practice your software craftsmanship skills by coding six different binary search algorithms. Each solution will teach you a new technique for solving problems as a software developer and level up your computer science skills in ge…

• Scrimba
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms

Build a solid foundation in data structures and algorithms, the key to writing efficient code and acing technical interview challenges. You'll learn Big O, recu

• Scrimba
• 2 hours 28 minutes
• Self-Paced
• Paid Course

Computational Thinking for Problem Solving

1431 ratings at Coursera

Develop systematic problem-solving skills using computational thinking principles and Python programming, applicable across diverse fields for real-world impact and data-centric challenges.

• Coursera
• 18 hours 11 minutes
• Self-Paced
• Paid Course

Career Certificate

Advanced Coding Interview Preparation with JavaScript

392 ratings at CodeSignal

Master advanced JavaScript coding with in-depth coverage of algorithms, data structures, and problem-solving techniques - from multidimensional arrays to Map/Set implementations and efficient task decomposition.

• CodeSignal
• 18 hours
• Self-Paced
• Free Certificate
• 5 courses