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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      AI & ML Applications in Oil and Gas Industry

      Skills you'll gain: Big Data, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Geostatistics, Anomaly Detection, Image Analysis, Energy and Utilities, Machine Learning, Automation, Physical Science, Natural Resource Management, Simulation and Simulation Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      39 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Science Challenge

      Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • T

      The University of Melbourne

      Advanced Modeling for Discrete Optimization

      Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Algorithms, Geometry, Data Structures

      4.9
      Rating, 4.9 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      Edureka

      Gen AI in Cybersecurity

      Skills you'll gain: Cybersecurity, Secure Coding, Cyber Security Strategy, Threat Detection, Network Security, Cyber Threat Intelligence, Application Security, IT Security Architecture, Generative AI, Incident Response, Artificial Intelligence, Machine Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python Basics: Create a Guessing Number Game from Scratch

      Skills you'll gain: Game Design, Programming Principles, Python Programming, Scripting, Computer Programming, Scripting Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      AI for Decision Makers

      Skills you'll gain: Data Ethics, Technology Strategies, Artificial Intelligence, Business Ethics, Business Leadership, Strategic Leadership, Artificial Intelligence and Machine Learning (AI/ML), Project Management, Organizational Leadership, Law, Regulation, and Compliance, Resource Allocation, Ethical Standards And Conduct, Regulation and Legal Compliance, Decision Making, Generative AI, Applied Machine Learning, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Cape Town

      How Entrepreneurs in Emerging Markets can master the Blockchain Technology

      Skills you'll gain: Blockchain, Cryptography, FinTech, Emerging Technologies, Ledgers (Accounting), Data Encryption Standard, Machine Learning, Artificial Intelligence, Financial Systems, Financial Services, Supervised Learning, Information Privacy, Personally Identifiable Information, Technology Strategies, Unsupervised Learning, Data Integrity, Distributed Computing, Reinforcement Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Technical University of Munich (TUM)

      From Zero to Hero - Digital Product Development From Scratch

      Skills you'll gain: MLOps (Machine Learning Operations), Product Development, User Experience Design, Human Centered Design, Design Thinking, User Research, Agile Product Development, Amazon Web Services, New Product Development, Generative AI, Innovation, Machine Learning, Artificial Intelligence, Problem Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      74 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Wearable Technologies and Sports Analytics

      Skills you'll gain: Kinesiology, Injury Prevention, Analytics, Data Analysis, Physical Therapy, Applied Machine Learning, Vital Signs, Health Technology, Machine Learning, Stress Management, Data Collection, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms, data collection, and starting to code
    algorithms for searching, sorting, and indexing
    algorithms on graphs
    algorithms for dna sequencing
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    algorithms for battery management systems
    1…575859…120

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

    • AI & ML Applications in Oil and Gas Industry: L&T EduTech
    • Data Science Challenge: Coursera Project Network
    • Advanced Modeling for Discrete Optimization: The University of Melbourne
    • Gen AI in Cybersecurity: Edureka
    • Python Basics: Create a Guessing Number Game from Scratch: Coursera Project Network
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • AI for Decision Makers: Fred Hutchinson Cancer Center
    • How Entrepreneurs in Emerging Markets can master the Blockchain Technology: University of Cape Town
    • From Zero to Hero - Digital Product Development From Scratch: Technical University of Munich (TUM)

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    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.

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