
University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, IBM Cloud, Python Programming
Build toward a degree
Advanced · Specialization · 3 - 6 Months

Princeton University
Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability, Calculus
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Programming Principles, Computer Programming, Computer Science
Advanced · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis
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Advanced · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, Data Access, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Feature Engineering, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Logistic Regression, Model Evaluation, Data Visualization Software, Descriptive Statistics, Data Analysis, Statistical Analysis, Tableau Software, Object Oriented Programming (OOP), Data Science, Machine Learning, Interviewing Skills, Python Programming
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Advanced · Professional Certificate · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Operations Research, Algorithms, Graph Theory, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming
Build toward a degree
Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Transfer Learning
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Methods, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Project Documentation, Portfolio Management
Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: AI Security, Open Web Application Security Project (OWASP), Cyber Security Assessment, Exploitation techniques, Server Side, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Scanning, Secure Coding, Artificial Intelligence, Responsible AI, Data Security, Cyber Attacks, Security Awareness, Generative AI, Large Language Modeling, Data Ethics, Authentications
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
Advanced · Guided Project · Less Than 2 Hours
A background in algorithms can lead to various career opportunities. Positions such as software developer, data scientist, systems analyst, and algorithm engineer are common paths. Additionally, roles in artificial intelligence and machine learning often require a strong understanding of algorithms. Companies across industries seek professionals who can design and implement effective algorithms to enhance their products and services.‎
To learn algorithms effectively, you should focus on several key skills. First, a solid understanding of programming languages such as Python, Java, or C++ is essential. Familiarity with data structures, such as arrays, linked lists, and trees, is also important, as they are often used in algorithm design. Problem-solving skills and analytical thinking will help you approach challenges creatively and efficiently.‎
There are many excellent online courses available for learning algorithms. For a comprehensive understanding, consider the Data Structures and Algorithms Specialization or the Algorithms Specialization. These programs cover foundational concepts and practical applications, making them suitable for learners at various levels.‎
Yes. You can start learning algorithms on Coursera for free in two ways:
If you want to keep learning, earn a certificate in algorithms, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn algorithms, start by selecting a course that matches your current skill level. Engage with the course materials, complete exercises, and practice coding challenges. Utilize online resources, such as coding platforms, to reinforce your learning. Collaborating with peers or joining study groups can also enhance your understanding and provide support.‎
Typical topics covered in algorithms courses include sorting and searching algorithms, graph algorithms, dynamic programming, and algorithm complexity analysis. Additionally, courses may explore advanced topics such as machine learning algorithms and optimization techniques, providing a well-rounded understanding of how algorithms function in various contexts.‎
For training and upskilling employees, courses like the Data Structures and Algorithms Specialization and the Algorithms Specialization are highly recommended. These programs provide a structured approach to learning algorithms, making them suitable for workforce development and enhancing team capabilities in problem-solving and software development.‎