What skills can I learn in algorithms courses on Coursera?

Coursera's algorithms courses offer valuable skills that are foundational in computer science: Understanding and implementing basic and advanced algorithms Analyzing algorithm efficiency and complexity Designing data structures to optimize software applications Problem-solving techniques for tackling computational challenges Application of algorithms in real-world scenarios, like sorting, searching, and graph operations Hands-on programming skills to implement algorithms in various programming languages

Do I need prior experience in algorithms to start these courses?

Algorithm courses on Coursera are suitable for all experience levels: Beginners can start with courses that introduce basic concepts and simple algorithms. Those with some background might choose intermediate courses focusing on more complex algorithms and their applications. Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.

What certifications and credentials are available for algorithms courses?

Coursera offers several ways to validate your skills in algorithms: Professional certificates designed to help build and showcase your analytical skills in technical roles. Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures. Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.

What career opportunities are available with skills in algorithms?

Skills in algorithms are crucial for a variety of technical careers: Software Engineer , developing efficient, scalable software Data Analyst , using algorithms to process and analyze large data sets Machine Learning Engineer , applying algorithms to build and train intelligent systems Operations Research Analyst , optimizing and improving business processes Academic Researcher, contributing to the advancement of computational theories and practices

Top Algorithms Courses - Learn Algorithms Online

Browse
Algorithms

More to explore:

Results for "algorithms"

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
4.6
Rating, 4.6 out of 5 stars
907 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
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
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, Feature Engineering, Regression Analysis, 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
10K reviews
Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

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
Advanced · Course · 1 - 4 Weeks
Unlimited growth. Unbeatable savings.
Save on Coursera Plus
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, Scikit Learn (Machine Learning Library), Predictive Modeling, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Advanced · Course · 1 - 4 Weeks
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
102 reviews
Advanced · Professional Certificate · 3 - 6 Months

Status: Free Trial
University of California San Diego
Advanced Algorithms and Complexity
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
4.6
Rating, 4.6 out of 5 stars
700 reviews
Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Loading search results

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
Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
I/O-efficient algorithms: 28DIGITAL
Approximation Algorithms and Linear Programming : University of Colorado Boulder
Google Advanced Data Analytics: Google
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

Coursera's algorithms courses offer valuable skills that are foundational in computer science:

Understanding and implementing basic and advanced algorithms
Analyzing algorithm efficiency and complexity
Designing data structures to optimize software applications
Problem-solving techniques for tackling computational challenges
Application of algorithms in real-world scenarios, like sorting, searching, and graph operations
Hands-on programming skills to implement algorithms in various programming languages ‎

Algorithm courses on Coursera are suitable for all experience levels:

Beginners can start with courses that introduce basic concepts and simple algorithms.
Those with some background might choose intermediate courses focusing on more complex algorithms and their applications.
Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.‎

Coursera offers several ways to validate your skills in algorithms:

Professional certificates designed to help build and showcase your analytical skills in technical roles.
Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures.
Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.‎

Skills in algorithms are crucial for a variety of technical careers:

Software Engineer, developing efficient, scalable software
Data Analyst, using algorithms to process and analyze large data sets
Machine Learning Engineer, applying algorithms to build and train intelligent systems
Operations Research Analyst, optimizing and improving business processes
Academic Researcher, contributing to the advancement of computational theories and practices‎

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.