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    Results for "algorithms"

    • U

      University of Colorado System

      Asymmetric Cryptography and Key Management

      Skills you'll gain: Public Key Infrastructure, Public Key Cryptography Standards (PKCS), Key Management, Cryptography, Encryption, Authentications, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Fraud Detection and Compliance

      Skills you'll gain: Generative AI, Law, Regulation, and Compliance, Regulatory Requirements, Compliance Management, Compliance Reporting, Governance, Business Risk Management, Governance Risk Management and Compliance, Risk Management, Financial Regulation, Anomaly Detection, Compliance Auditing, Data Governance, Artificial Intelligence, Large Language Modeling, Threat Detection, Advanced Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      How Diffusion Models Work

      Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Intermediate · Project · Less Than 2 Hours

    • U

      University of London

      The Data Science Profession – Student View

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Information Theory

      Skills you'll gain: Digital Communications, Theoretical Computer Science, Telecommunications, Information Management, Probability, Probability Distribution, Technical Communication, Algorithms, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Mixed · Course · 3 - 6 Months

    • U

      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Big Data, Analytics, Cloud Computing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      239 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Matrix Factorization and Advanced Techniques

      Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      186 reviews

      Mixed · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

      Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 3 - 6 Months

    • M

      Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Copenhagen

      Data Literacy – What is it and why does it matter?

      Skills you'll gain: Data Literacy, Personally Identifiable Information, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Journalism, Big Data, Information Privacy, Data-Driven Decision-Making, Data Security, Law, Regulation, and Compliance, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to the Threat Intelligence Lifecycle

      Skills you'll gain: Cyber Threat Intelligence, Threat Management, Threat Detection, Data Cleansing, Data Management, Data Validation, Data Quality, Data Integrity, Technical Communication, Automation, Requirements Analysis, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to algorithms

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    algorithms, part i
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    algorithms, data collection, and starting to code
    algorithms for dna sequencing
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    1…495051…118

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

    • Asymmetric Cryptography and Key Management: University of Colorado System
    • GenAI for Fraud Detection and Compliance: Coursera Instructor Network
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • How Diffusion Models Work: DeepLearning.AI
    • The Data Science Profession – Student View: University of London
    • Information Theory: The Chinese University of Hong Kong
    • Data Science Fundamentals: University of California, Irvine
    • Matrix Factorization and Advanced Techniques: University of Minnesota
    • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft

    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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