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    Results for "perl (programming language)"

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Microsoft

      Python Programming Fundamentals

      Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Development Testing, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Generative AI Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Natural Language Processing, Generative AI Agents, PyTorch (Machine Learning Library), Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Application Development, Artificial Intelligence, Feature Engineering, Document Management, Machine Learning Methods, Jupyter, Data Processing, Applied Machine Learning, Performance Tuning, Application Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      396 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Dartmouth College

      C Programming: Getting Started - 1

      Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      247 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Java Programming: Solving Problems with Software

      Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Computer Science, Programming Principles, Advanced Mathematics, Design Strategies, Linear Algebra, Mathematical Theory & Analysis, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Skills you'll gain: Python Programming, Data Structures, Computer Programming, Program Development, Application Development, Algorithms, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, GitHub, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    1…789…370

    In summary, here are 10 of our most popular perl (programming language) courses

    • Applied Software Engineering Fundamentals: IBM
    • Python Programming Fundamentals: Microsoft
    • Generative AI Engineering with LLMs: IBM
    • C Programming: Getting Started - 1: Dartmouth College
    • Get Started with Python: Google
    • Advanced R Programming: Johns Hopkins University
    • Java Programming: Solving Problems with Software: Duke University
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile

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