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    Results for "algorithms"

    • 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 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

    • 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

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      990 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Applications in People Management

      Skills you'll gain: HR Tech, Human Resources, Data Ethics, Data-Driven Decision-Making, People Management, Artificial Intelligence, Employee Engagement, Machine Learning, Employee Retention, Predictive Analytics, Blockchain

      4.8
      Rating, 4.8 out of 5 stars
      ·
      261 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Writing, Running, and Fixing Code in C

      Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

      4.3
      Rating, 4.3 out of 5 stars
      ·
      804 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Machine Learning With Big Data

      Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • N

      National Taiwan University

      用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1))

      Skills you'll gain: Information Systems, Information Management, Business Logic, Data Structures, Transportation Operations, Production Planning, Operations Management, Business Operations, Inventory Control, Logistics, Algorithms, Programming Principles, Computer Programming, Python Programming, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      892 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Programación en Python

      Skills you'll gain: Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      194 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms, data collection, and starting to code
    algorithms for searching, sorting, and indexing
    algorithms on graphs
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on strings
    1…232425…120

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

    • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
    • Data Science at Scale: University of Washington
    • Recommender Systems: University of Minnesota
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Applied Cryptography: University of Colorado System
    • Introduction to Applied Cryptography: University of Colorado System
    • AI Applications in People Management : University of Pennsylvania
    • Writing, Running, and Fixing Code in C: Duke University
    • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile
    • Machine Learning With Big Data: University of California San Diego

    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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