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    Programming Languages Courses Online

    Explore programming languages for software development. Learn about different languages, their syntax, and use cases.

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    Explore the Programming Languages Course Catalog

    • Y

      Yonsei University

      First Step Korean

      Skills you'll gain: Language Competency, Grammar, Vocabulary, Literacy, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Manipulation, Stored Procedure, Databases, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Processing, Data Storage, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Automation, Data Science, Data-Driven Decision-Making, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Getting Started with R

      Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      380 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Collection, Data Science, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Other Programming Languages, Java, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular programming languages courses

    • First Step Korean: Yonsei University
    • Approximation Algorithms and Linear Programming : University of Colorado Boulder
    • Data Engineering Foundations: IBM
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Prepare Data for Exploration: Google
    • Applied Data Science: IBM
    • Getting Started with R: Coursera Project Network
    • Data Science Foundations: IBM
    • Advanced R Programming: Johns Hopkins University

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Programming Languages

    Programming languages are languages that are made up of instructions for computers and other machines to solve problems, perform tasks, or analyze data. A computer processes every action or bit of data into binary code, which consists of ones and zeroes. A programming language takes command from a human language and translates it into binary code for the computer to process. There are two types of programming languages: low-level and high-level. Low-level languages are closer to binary code and easier for the computer to understand, while high-level languages are more sophisticated and take more time for a machine to process.‎

    Learning programming languages is important because you can use them to develop new software and applications that others can use. Computer programming is increasingly important in a technologically connected world, and if you know how to use programming languages, you can help create innovative technologies that make life easier and better for consumers. The computer industry will continue to grow, and companies are constantly looking for employees with a thorough knowledge of programming languages who can work to develop the next generation of applications and devices.‎

    The computer programming industry has a vast array of lucrative jobs for employees who understand programming languages, from software and app developers to systems administrators to network security engineers. Opportunities include designing and programming apps and software as well as working as a programmer who helps correct errors in existing software packages. A job as a database administrator allows you to help clients analyze large amounts of information and even recover data that’s been lost. You can also find work as a systems or intelligence analyst and help companies match their computing power to their business objectives and take advantage of new trends.‎

    Online courses in programming languages can show you the basic structure and concepts behind the languages that computers and machines use today so that you can put them to use in your current workplace or in a brand new career. You might also learn the applications of various programming languages in different environments. Courses can help you understand Python, C++, Java, or other popular languages, as well as learn specific uses of these languages across multiple industries. You may also have the opportunity to discover the new programming languages that are on the horizon.‎

    Online Programming Languages courses offer a convenient and flexible way to enhance your knowledge or learn new Programming Languages skills. Choose from a wide range of Programming Languages courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Programming Languages, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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