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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

    • Placeholder
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Strategy, Data Visualization Software, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      113K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Programming Foundations with JavaScript, HTML and CSS

      Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Front-End Web Development, Computer Programming, Image Analysis, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • 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, Data-Driven Decision-Making

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

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Performance Tuning, Computer Programming, Computer Science

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

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      Duke University

      Java Programming: Solving Problems with Software

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

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

      Beginner · Course · 1 - 3 Months

    • Placeholder
      G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization Software, Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Data Transformation, Integrated Development Environments, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Secure Coding, Algorithms, Software Design, Application Security, System Programming, Python Programming, API Design, Computer Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools

      4.5
      Rating, 4.5 out of 5 stars
      ·
      148 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), ChatGPT, System Monitoring, MLOps (Machine Learning Operations), Data Structures

      3.9
      Rating, 3.9 out of 5 stars
      ·
      186 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Data Transformation, Extract, Transform, Load, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Relational Databases, Data Storage Technologies, Apache Hadoop, Databases, Data Manipulation, Stored Procedure, Database Management, Database Design, Automation, Python Programming

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

      Beginner · Specialization · 3 - 6 Months

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

    • Applied Data Science with Python: University of Michigan
    • IBM Data Analytics with Excel and R: IBM
    • Foundations: Data, Data, Everywhere: Google
    • Getting Started with SAS Programming: SAS
    • Programming Foundations with JavaScript, HTML and CSS: Duke University
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Parallel programming: École Polytechnique Fédérale de Lausanne
    • Java Programming: Solving Problems with Software: Duke University
    • Data Analysis with R Programming: Google
    • C Programming for Everybody: University of Michigan

    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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