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    Results for "algorithms"

    • C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Crea tu artículo científico con latex

      Skills you'll gain: Research Reports, Technical Documentation, Technical Writing, Scientific Methods, Document Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      100 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Computing, Ethics, and Society Foundations

      Skills you'll gain: Data Ethics, Security Awareness, Computer Security Awareness Training, Ethical Standards And Conduct, Cybersecurity, Information Technology, Information Privacy, Media and Communications, Machine Learning, Personally Identifiable Information, Artificial Intelligence, General Data Protection Regulation (GDPR), Data Collection

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Quantum Optics 2 - Two photons and more

      Skills you'll gain: Emerging Technologies, Telecommunications, Cryptography, Network Planning And Design, Simulation and Simulation Software, Physics, Engineering, Scientific, and Technical Instruments, Applied Mathematics, Algorithms, Experimentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      128 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Random Forest Algorithm

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Business Intelligence and Visual Analytics

      Skills you'll gain: Dashboard, Data Visualization Software, Business Reporting, SAS (Software), Interactive Data Visualization, Data Storytelling, Business Intelligence, Business Analytics, Cloud Computing, Big Data, Machine Learning, Data Import/Export

      4.2
      Rating, 4.2 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      GenAI Basics - How LLMs Work

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Processing, Data Science, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Washington

      Designing Autonomous AI

      Skills you'll gain: Organizational Skills, Artificial Intelligence, Systems Design, Functional Design, Goal Setting, Verification And Validation, Reinforcement Learning, Functional Specification, Knowledge Transfer, Software Architecture, Interviewing Skills, Software Design Patterns, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Responsible AI for Developers

      Skills you'll gain: Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Applied Machine Learning, Artificial Intelligence, Data Security, Cloud Security, Testability, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Interoperability, Data-Driven Decision-Making, Tensorflow, Machine Learning Methods, Encryption, Open Source Technology, Technical Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      Mastering EV Cooling: Advanced Thermal Management

      Skills you'll gain: Thermal Management, HVAC, Electric Power Systems, Electrical Systems, Engineering Analysis, Hardware Troubleshooting, Mechanical Engineering, Schematic Diagrams, Control Systems, Safety Training

      3.8
      Rating, 3.8 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to algorithms

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    algorithms on graphs
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    1…575859…120

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

    • Data Science for Professionals: Coursera Instructor Network
    • Machine Learning and NLP Basics: Edureka
    • Crea tu artículo científico con latex: Coursera Project Network
    • Computing, Ethics, and Society Foundations: University of Colorado Boulder
    • Quantum Optics 2 - Two photons and more: École Polytechnique
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Business Intelligence and Visual Analytics: University of California, Irvine
    • GenAI Basics - How LLMs Work: Duke University
    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Designing Autonomous AI: University of Washington

    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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