What are the best Algorithms courses online?

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.

Can I study Algorithms for free on Coursera?

Yes. You can start learning algorithms on Coursera for free in two ways: Preview the first module of many algorithms courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available). Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial. 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.

How do I learn Algorithms?

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.

What topics are typically covered in Algorithms courses?

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.

What Algorithms courses are best for training and upskilling employees or the workforce?

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.

Top Algorithms Courses - Learn Algorithms Online

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University of Colorado Boulder
Foundations of Data Structures and Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Computational Thinking, Combinatorics, Data Science, Mathematical Software, Computer Science, Mathematical Modeling, Python Programming
4.7 stars, 978 reviews, Advanced, Specialization, 3 - 6 Months
Status: Free trial
Category: Build toward a degree
University of California San Diego
Advanced Algorithms and Complexity
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Advanced Mathematics, Operations Research, Theoretical Computer Science, Network Analysis, Machine Learning Algorithms, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Model Optimization
4.6 stars, 703 reviews, Advanced, Course, 1 - 3 Months
Status: Free trial
Princeton University
Analysis of Algorithms
Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability, Applied Mathematics, Calculus
4.4 stars, 1.1K reviews, Advanced, Course, 1 - 3 Months
Category: Free
28DIGITAL
I/O-efficient algorithms
Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning
4.6 stars, 60 reviews, Advanced, Course, 1 - 3 Months
University of Colorado Boulder
Trees and Graphs: Basics
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming
4.6 stars, 192 reviews, Advanced, Course, 1 - 4 Weeks
Status: Free trial
Category: Build toward a degree

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University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Applied Mathematics, Python Programming, Analysis
4.7 stars, 277 reviews, Advanced, Course, 1 - 4 Weeks
Status: Free trial
Category: Build toward a degree
University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Graph Theory, Network Model, Combinatorics, Mathematical Software, Mathematical Modeling, Theoretical Computer Science, Model Optimization, Python Programming
4.8 stars, 66 reviews, Advanced, Course, 1 - 4 Weeks
Status: Free trial
Category: Build toward a degree
Corporate Finance Institute
Practical Data Science for Data Analysts
Skills you'll gain: Classification Algorithms, Data Preprocessing, Matplotlib, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Exploratory Data Analysis, Plot (Graphics), Pandas (Python Package), Data Presentation, Data Science, NumPy, Regression Analysis, Data Analysis, Data Structures, Data Wrangling, Correlation Analysis, Portfolio Management, Predictive Analytics
4.7 stars, 21 reviews, Advanced, Specialization, 3 - 6 Months
Status: Free trial
IBM
IBM AI Enterprise Workflow
Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming
4.4 stars, 386 reviews, Advanced, Specialization, 3 - 6 Months
Status: Free trial
University of Colorado Boulder
Advanced Data Structures, RSA and Quantum Algorithms
Skills you'll gain: Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Cryptographic Protocols, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Mathematical Software, Advanced Mathematics
4.6 stars, 69 reviews, Advanced, Course, 1 - 4 Weeks
Status: Free trial
Category: Build toward a degree
Scrimba
Data Structures and Algorithms: Merge Sort
Skills you'll gain: Software Design Patterns, Computational Thinking, Software Design, Algorithms, Theoretical Computer Science, Software Development, Data Structures, Computer Programming, Problem Solving, Computer Science, Machine Learning Methods
Advanced · Course · 1 - 4 Weeks
Status: Free trial

Duke University
MLOps | Machine Learning Operations
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Data Engineering, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
4.1 stars, 639 reviews, Advanced, Specialization, 3 - 6 Months
Status: Top AI program
Status: Free trial

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Start my career

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In summary, here are 10 of our most popular algorithms courses

Foundations of Data Structures and Algorithms: University of Colorado Boulder
Advanced Algorithms and Complexity: University of California San Diego
Analysis of Algorithms: Princeton University
I/O-efficient algorithms: 28DIGITAL
Trees and Graphs: Basics: University of Colorado Boulder
Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
Approximation Algorithms and Linear Programming: University of Colorado Boulder
Practical Data Science for Data Analysts: Corporate Finance Institute
IBM AI Enterprise Workflow: IBM
Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder

Skills you can learn in Algorithms

Graphs (22)

Mathematical Optimization (21)

Computer Program (20)

Discrete Mathematics (10)

Graph Theory (10)

Image Processing (10)

Linear Algebra (10)

Reinforcement Learning (10)

Frequently Asked Questions about Algorithms

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.‎

Yes. You can start learning algorithms on Coursera for free in two ways:

Preview the first module of many algorithms courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.