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    Results for "algorithms"

    • N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Inteligencia artificial: proyecto final

      Skills you'll gain: Program Development, Artificial Intelligence, Engineering Software, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Writing

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Introduction to Data Management

      Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      91 reviews

      Beginner · 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, User Experience Design, Artificial Intelligence and Machine Learning (AI/ML), 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

    • U

      University of Colorado System

      Basic Cryptography and Programming with Crypto API

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Advanced Encryption Standard (AES), Application Security, Public Key Cryptography Standards (PKCS), Secure Coding, Data Security, Web Development, Email Security, PHP (Scripting Language), Algorithms, User Provisioning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Feature Engineering, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Scrimba

      Become a JavaScript Developer

      Skills you'll gain: TypeScript, Javascript, Pseudocode, Computational Thinking, Web Development, Angular, Vue.JS, Application Development, Debugging, Algorithms, React.js, Web Applications, JSON, Data Import/Export, Event-Driven Programming, Front-End Web Development, Object Oriented Programming (OOP), Unit Testing, Maintainability, Software Design Patterns

      4.5
      Rating, 4.5 out of 5 stars
      ·
      72 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      320 reviews

      Mixed · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Computational Thinking with Beginning C Programming

      Skills you'll gain: Computational Thinking, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Development Environment, Descriptive Statistics, Problem Management, File Management, Distributed Computing, Debugging, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      431 reviews

      Beginner · Specialization · 3 - 6 Months

    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…434445…118

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

    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Inteligencia artificial: proyecto final: Universidad Nacional Autónoma de México
    • Introduction to Data Management: Meta
    • The Art & Science of Product Management: Advancing Women in Tech
    • Basic Cryptography and Programming with Crypto API: University of Colorado System
    • IA Para Todos (Português): DeepLearning.AI
    • Perform data science with Azure Databricks: Microsoft
    • Machine Learning Using SAS Viya: SAS
    • Become a JavaScript Developer: Scrimba
    • Practical Predictive Analytics: Models and Methods: 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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