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    Results for "algorithms"

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computer Programming, Computational Thinking, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      622 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Spatial Analysis, Computational Thinking, Computer Programming, Computer Science

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Advanced Machine Learning Algorithms

      Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

      3.6
      Rating, 3.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (III)

      Skills you'll gain: Data Structures, Database Design, Query Languages, Algorithms, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Unsupervised Algorithms in Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Data Science, Scikit Learn (Machine Learning Library), Python Programming, NumPy, Exploratory Data Analysis, Linear Algebra, Statistical Analysis

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (II)

      Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Data Manipulation at Scale: Systems and Algorithms

      Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Analytics, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      767 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to algorithms

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    1…91011…119

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

    • Approximation Algorithms: EIT Digital
    • Advanced Data Structures and Algorithms: Packt
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Geometric Algorithms: EIT Digital
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Data Structures and Algorithms (I): Tsinghua University
    • Advanced Machine Learning Algorithms: Fractal Analytics
    • Data Structures and Algorithms (III): Tsinghua University
    • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
    • Mathematical Thinking in Computer Science: University of California San Diego

    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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