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    Results for "algorithms"

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Programación en Python II: aprendiendo a estructurar datos

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Computer Programming, Algorithms, Python Programming, Computational Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Columbia University

      Camera and Imaging

      Skills you'll gain: Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Linear Algebra, Advanced Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      142 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Politecnico di Milano

      Artificial Intelligence and legal issues

      Skills you'll gain: Intellectual Property, Legal Risk, General Data Protection Regulation (GDPR), Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Artificial Intelligence, Legal Strategy, Civil Law, Lawsuits

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Computational Thinking, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      314 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Foundations of Data Structures and Algorithm Analysis

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Network Analysis, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      Skills you'll gain: Digital Communications, Image Analysis, Telecommunications, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Electronics, Engineering Analysis, Applied Mathematics, Algorithms, Quantitative Research, Debugging, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Advancing Women in Tech

      The Art & Science of Product Management

      Skills you'll gain: Cross-Functional Team Leadership, Technical Product Management, Product Management, Team Leadership, Artificial Intelligence and Machine Learning (AI/ML), User Experience Design, Design, Artificial Intelligence, Interviewing Skills, Machine Learning, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      EIT Digital

      Quantitative Model Checking

      Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Real-Time Operating Systems, Probability Distribution

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      932 reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      IA Para Todos (Português)

      Skills you'll gain: Business Strategies, Business Strategy, Artificial Intelligence, Data Ethics, Team Building, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Data Modeling, Business Transformation, Business Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms, part ii
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    1…424344…119

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

    • Programación en Python II: aprendiendo a estructurar datos: Pontificia Universidad Católica de Chile
    • Camera and Imaging: Columbia University
    • Artificial Intelligence and legal issues: Politecnico di Milano
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Foundations of Data Structures and Algorithm Analysis: Packt
    • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
    • The Art & Science of Product Management: Advancing Women in Tech
    • AI for Scientific Research: LearnQuest
    • Computational Methods in Pricing and Model Calibration: Columbia University
    • Quantitative Model Checking: EIT Digital

    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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