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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Status: Free Trial
University of Colorado Boulder
Foundations of Data Structures and Algorithms
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, Data Encryption Standard, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, Python Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
909 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free
Princeton University
Analysis of Algorithms
Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Graph Theory, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability
4.4
Rating, 4.4 out of 5 stars
1K reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Regression Analysis, Feature Engineering, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
11K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
236 reviews
Advanced · Course · 1 - 4 Weeks
28DIGITAL
I/O-efficient algorithms
Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, Data Access, Performance Tuning
4.6
Rating, 4.6 out of 5 stars
60 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Approximation Algorithms and Linear Programming
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
4.8
Rating, 4.8 out of 5 stars
50 reviews
Advanced · Course · 1 - 4 Weeks

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Status: New
Status: Free Trial
University of Colorado Boulder
Modern AI Models for Vision and Multimodal Understanding
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
4.3
Rating, 4.3 out of 5 stars
6 reviews
Advanced · Course · 1 - 4 Weeks
Next level skills. New Year savings.
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Status: New
Status: Free Trial
University of Colorado Boulder
Security & Ethical Hacking: Attacking Web and AI Systems
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
Coursera
Semantic Segmentation with Amazon Sagemaker
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
4.6
Rating, 4.6 out of 5 stars
94 reviews
Advanced · Guided Project · Less Than 2 Hours
Status: Free Trial
Google
Google Advanced Data Analytics Capstone
Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management, Project Documentation
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Coursera
Advanced Project Operations & Automation
Skills you'll gain: Earned Value Management, Workflow Management, Business Process Automation, Change Management, Project Management, Project Controls, Performance Measurement, Automation, Predictive Modeling, AI Enablement, Strategic Communication, Data-Driven Decision-Making, Risk Analysis, Process Improvement and Optimization, Process Optimization, Analytics, Cloud-Based Integration, Generative AI, Systems Integration, Machine Learning
Advanced · Specialization · 3 - 6 Months

Status: New
Status: Free Trial
SAS
SAS Machine Learning Engineer
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
4.7
Rating, 4.7 out of 5 stars
103 reviews
Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

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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
Analysis of Algorithms: Princeton University
Google Advanced Data Analytics: Google
Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
I/O-efficient algorithms: 28DIGITAL
Approximation Algorithms and Linear Programming : University of Colorado Boulder
Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
Security & Ethical Hacking: Attacking Web and AI Systems: University of Colorado Boulder
Semantic Segmentation with Amazon Sagemaker: Coursera
Google Advanced Data Analytics Capstone: Google

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.