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Alibaba Cloud Academy
This series covers OS basics, network fundamentals, host and application security to prepare specialists for cloud security on Alibaba Cloud.

Alibaba Cloud Academy
Introduction to Alibaba Cloud products and solutions focusing on storage, networking, auto-scaling, and security in cloud architecture.

University of Colorado Boulder
Covers fundamental algorithm design and analysis for searching, sorting, priority queues, hash functions, and related applications.

Princeton University
This course covers essential knowledge for programmers on algorithms and data structures with emphasis on graph and string algorithms and Java application performance analysis.

Princeton University
This course covers essential data structures and algorithm basics, focusing on Java implementation and performance analysis, including sorting and searching algorithms.

University of California San Diego
This course explains graph algorithms used in navigation, networking, and social media to find optimal paths, traverse graphs, and analyze network properties.

University of California San Diego
This course covers key string algorithms for efficient text processing, including pattern matching with tries, suffix trees, suffix arrays, and Burrows-Wheeler transform.
Stanford University
Review shortest path algorithms like Bellman-Ford and Floyd-Warshall, understand NP-completeness, and explore heuristic and local search strategies for hard problems.

Stanford University
Explore advanced data structures and graph search algorithms focusing on shortest paths and network applications like deduplication and connectivity.

University of Colorado System
Start your journey in computational thinking and C programming by exploring algorithms and data collection fundamentals for problem-solving.

University of London
Algorithms and complexity are at the heart of computer science, shaping how we design solutions and measure efficiency. This course provides a rigorous introduction to both the theory and practice of algorithms.

University of California San Diego
Covers fundamental algorithmic techniques for common problems such as sorting, searching, greedy algorithms, and dynamic programming with practical exercises.

Rice University
Explore advanced algorithmic techniques like divide-and-conquer and dynamic programming, implementing Python algorithms to analyze large real-world datasets.

Rice University
Learn mathematical concepts of algorithmic thinking focusing on algorithm efficiency and graph problems, implementing graph algorithms in Python to analyze real-world data.

Coursera
Learn fundamental algorithm design, advanced problem-solving techniques, and effective reporting skills for algorithmic solutions.

Fred Hutchinson Cancer Center
Learn ten practical principles for designing fair AI algorithms to reduce biases related to age, gender, and race in healthcare, criminal justice, and other areas.

Johns Hopkins University
This Teach-Out explores algorithmic bias and its social impact, encouraging policymakers to recognize and address fairness issues in algorithm deployment.

Johns Hopkins University
Students learn to apply functions effectively to model data and real-world phenomena using algebraic and analytic methods.

Johns Hopkins University
This course establishes a solid algebraic foundation of key mathematical concepts for advanced studies in precalculus, calculus, probability, and statistics.

University of Colorado Boulder
Learn fundamental differential calculus concepts for data science with practical explanations of logarithms, functions, and graphing without heavy mathematical proofs.

University of California San Diego
Explore genetic and metabolic engineering in algae biotechnology and commercial bio-products development.
University of California San Diego
Explore algae diversity, biology, environmental importance, and their applications in food, medicine, and energy.

University of Michigan
Explore how the Alexander Technique improves body coordination to relieve pain, reduce tension, promote calm, and enhance breathing and sleep quality.

EDUCBA
Learn to analyze datasets, apply machine learning algorithms, evaluate classifiers, and build deep learning models using Python and popular frameworks.