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    Programming Courses Online

    Master programming for software development. Learn various programming languages, algorithms, and problem-solving techniques.

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    Explore the Programming Course Catalog

    • C

      Coursera Project Network

      Linear Regression with Python

      Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      429 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Data Analysis

      Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      889 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Getting Started with Rstudio

      Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      142 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Flutter and Dart: Developing iOS, Android, and Mobile Apps

      Skills you'll gain: Flutter (Software), Mobile Development, iOS Development, Apple iOS, User Interface (UI), Android Development, User Interface and User Experience (UI/UX) Design, Application Development, Cross Platform Development, Application Programming Interface (API), Software Development Tools, Debugging, Object Oriented Programming (OOP)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Robotics with Webots

      Skills you'll gain: Robotic Process Automation, Data Mapping, Control Systems, Automation, Artificial Intelligence, Simulation and Simulation Software, Graph Theory, Mechanics, Algorithms, Real-Time Operating Systems, Simulations, Engineering, Global Positioning Systems, Image Analysis, Computer Science, Data Structures, Linear Algebra, Programming Principles, Estimation

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      55 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Data Representations

      Skills you'll gain: Development Environment, Data Structures, File Management, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Spring MVC, Spring Boot and Rest Controllers

      Skills you'll gain: Model View Controller, Spring Framework, Restful API, Spring Boot, Web Services, JSON, YAML, Java, Web Applications, Configuration Management, Angular, Application Frameworks, Software Architecture, Extensible Markup Language (XML)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      209 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn to code with AI

      Skills you'll gain: HTML and CSS, Web Development, GitHub, Version Control, Front-End Web Development, Application Deployment, ChatGPT, Javascript, Responsive Web Design, Debugging, Application Development, Database Application, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      108 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Customising your models with TensorFlow 2

      Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Frontend for Java Full Stack Development

      Skills you'll gain: Angular, Web Applications, HTML and CSS, Web Development, JavaScript Frameworks, Hypertext Markup Language (HTML), Front-End Web Development, Javascript, Cascading Style Sheets (CSS), Maintainability, UI Components

      4.3
      Rating, 4.3 out of 5 stars
      ·
      83 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Serverless Applications

      Skills you'll gain: Microsoft Azure, Serverless Computing, Cloud Development, Microsoft Power Automate/Flow, Event-Driven Programming, Cloud Applications, Business Process Automation, Cloud API, Application Programming Interface (API), GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Linear Regression with Python: Coursera Project Network
    • Python Data Analysis: Rice University
    • Getting Started with Rstudio: Coursera Project Network
    • Flutter and Dart: Developing iOS, Android, and Mobile Apps: IBM
    • Introduction to Robotics with Webots: University of Colorado Boulder
    • Python Data Representations: Rice University
    • Spring MVC, Spring Boot and Rest Controllers: LearnQuest
    • Learn to code with AI: Scrimba
    • Customising your models with TensorFlow 2: Imperial College London
    • Frontend for Java Full Stack Development: Board Infinity

    Frequently Asked Questions about Programming

    Programming courses on Coursera provide learners with essential skills that are fundamental to various computing tasks and technology careers, including:

    • Understanding basic to advanced concepts of programming languages such as Python, Java, and C++
    • Writing clean, efficient, and error-free code
    • Developing algorithms to solve problems and perform data analysis
    • Applying object-oriented programming (OOP) principles to organize software design
    • Using version control systems like Git to manage code changes
    • Developing web and mobile applications
    • Implementing security best practices in software development‎

    Coursera's programming courses are designed to meet learners at their point of need, regardless of their prior experience:

    • Beginners: No prior experience is necessary. Introductory courses start with the basics of programming and build foundational skills.
    • Intermediate Learners: Some understanding of basic programming concepts is helpful. Courses focus on more complex aspects of programming and software development.
    • Advanced Learners: For those with solid programming experience, advanced courses explore specialized areas like software engineering, advanced data structures, and complex algorithmic challenges. ‎

    Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development:

    • Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies.
    • Professional Certificates: These certificates are intended to prepare you for specific technology roles by combining coursework that builds a comprehensive skill set.
    • Specializations: These are focused on particular areas of programming and are designed to provide in-depth knowledge and practical skills that can be beneficial in the tech industry. ‎

    Mastering programming opens up a wide array of career opportunities across multiple industries, including:

    • Software Developer: Building and maintaining software systems.
    • Web Developer: Creating and optimizing websites and web applications.
    • Mobile App Developer: Designing applications for iOS and Android devices.
    • Systems Engineer: Ensuring that complex, multi-part systems function properly together.
    • Data Analyst: Analyzing data to help companies make informed decisions.
    • DevOps Engineer: Bridging the gap between development and operations in software production.‎

    Looking to enhance your team's programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our programming training options and make a purchase, please visit our Coursera for Teams page.‎

    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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