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    Results for "algorithms"

    • Status: New
      New
      M

      Microsoft

      Data Analysis and Visualization with Python

      Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning

      4
      Rating, 4 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Classical Cryptosystems and Core Concepts

      Skills you'll gain: Cryptography, Cybersecurity, Encryption, Key Management, Public Key Cryptography Standards (PKCS), Data Integrity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      411 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      数据结构基础

      Skills you'll gain: Data Structures, Computational Thinking, Graph Theory, Theoretical Computer Science, Programming Principles, Algorithms, Computer Programming, Data Storage, C (Programming Language), C++ (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      251 reviews

      Mixed · Course · 1 - 3 Months

    • M

      MathWorks

      Object Tracking and Motion Detection with Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Intel

      AI Essentials

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Automation, Deep Learning, Machine Learning, Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.9
      Rating, 3.9 out of 5 stars
      ·
      67 reviews

      Beginner · Specialization · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Análise de Dados para Workforce Management

      Skills you'll gain: Workforce Management, People Analytics, Big Data, HR Tech, Workforce Planning, Data Mining, Data-Driven Decision-Making, Human Resource Strategy, Deep Learning, Human Resources Management and Planning, Data Visualization, Digital Transformation, Human Resources, Data Visualization Software, Data Modeling, R Programming, Data Science, Data Manipulation, Machine Learning, Data Structures

      4.3
      Rating, 4.3 out of 5 stars
      ·
      60 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Supervised Learning, Machine Learning Algorithms, Data Analysis, Performance Tuning, Big Data, Data Pipelines, Artificial Neural Networks, Data Ethics, Cloud Computing, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidade Estadual de Campinas

      Escola 4.0 Educação e Cultura Maker no Contexto da Nova BNCC

      Skills you'll gain: Education Software and Technology, Artificial Intelligence, Computer Programming, Computational Thinking, Innovation, Design Thinking, Prototyping, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      92 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Programming in C

      Skills you'll gain: C (Programming Language), Programming Principles, C++ (Programming Language), Algorithms, Data Structures, Other Programming Languages, System Programming, Numerical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      ISC2

      Cryptography

      Skills you'll gain: Cryptography, Key Management, Public Key Infrastructure, Encryption, Data Security, Cybersecurity, Authentications, Email Security, Data Integrity, IT Security Architecture, Virtual Private Networks (VPN), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Python Programming Fundamentals

      Skills you'll gain: Computational Thinking, Debugging, Algorithms, Program Development, Integrated Development Environments, Software Testing, Programming Principles, Development Environment, Data Manipulation, Python Programming, Microsoft Development Tools, Software Development, Data Analysis, Computer Programming

      4
      Rating, 4 out of 5 stars
      ·
      52 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 for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    algorithms on strings
    1…474849…118

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

    • Data Analysis and Visualization with Python: Microsoft
    • Classical Cryptosystems and Core Concepts: University of Colorado System
    • 数据结构基础: Peking University
    • Object Tracking and Motion Detection with Computer Vision: MathWorks
    • AI Essentials : Intel
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Análise de Dados para Workforce Management: Fundação Instituto de Administração
    • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
    • Escola 4.0 Educação e Cultura Maker no Contexto da Nova BNCC: Universidade Estadual de Campinas
    • Programming in C: University of Michigan

    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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