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    Results for "algorithms"

    • E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Feature Engineering, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      727 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Data Sharing, Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Intellectual Property, Data Analysis, Social Sciences, Sampling (Statistics), Data-Driven Decision-Making, Diversity Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

      Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Software, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, System Implementation, Computer Graphics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      525 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Prognosis

      Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Principles of Software Design

      Skills you'll gain: Object Oriented Programming (OOP), Java, Software Engineering, Computer Programming, Software Design, Predictive Modeling, Algorithms, Data Structures, Performance Testing, Debugging, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part II: Layout

      Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Engineering Design Process, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Mathematical Modeling, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Algorithms, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      823 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Validation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Regression Analysis, Statistical Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Cryptographic Protocols, Encryption, Data Integrity, Cybersecurity, Computer Security, Authentications, Data Security, Theoretical Computer Science, Algorithms, Digital Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      865 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to algorithms

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    1…272829…120

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

    • Introduction to Embedded Machine Learning: Edge Impulse
    • Data Science Ethics: University of Michigan
    • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • AI for Medical Prognosis : DeepLearning.AI
    • Java Programming: Principles of Software Design: Duke University
    • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
    • Recommender Systems: University of Minnesota
    • Data Science at Scale: University of Washington
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University

    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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