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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

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Business intelligence and data warehousing

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Business Intelligence, Data Mining, Big Data, Predictive Analytics, Analytics, Data Modeling, MySQL, Business Analytics, Apache Hadoop, Star Schema, Unstructured Data, Database Design, SQL, Data Transformation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Selenium

      Skills you'll gain: Selenium (Software), Test Automation, Debugging, Scripting, Automation, Web Scraping, Software Testing, Test Case, Browser Compatibility, Cascading Style Sheets (CSS)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Scalable Microservices for Developers

      Skills you'll gain: Microservices, Spring Boot, Spring Framework, IntelliJ IDEA, Java Programming, Restful API, Object Oriented Programming (OOP), Java, Application Deployment, Software Architecture, API Design, Integrated Development Environments, Scalability, Service Oriented Architecture, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Distributed Computing, Computer Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Connect Your Services with Microsoft Azure Service Bus

      Skills you'll gain: Microsoft Azure, C# (Programming Language), Service Oriented Architecture, Cloud Storage, Microservices, Cloud Development, Cloud Applications, Distributed Computing, Event-Driven Programming, Scalability, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Customer Service with Python: Build a Chatbot using ChatGPT

      Skills you'll gain: ChatGPT, Prompt Engineering, OpenAI, Artificial Intelligence, Customer Service, Application Programming Interface (API), User Flows, Python Programming, Test Case, Development Environment, E-Commerce, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Introduction to Android graphics

      Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Android Development, Computer Graphic Techniques, Animation and Game Design, Virtual Reality, Linear Algebra

      4.1
      Rating, 4.1 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 2

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Machine Learning for Marketing

      Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Google Analytics, Search Engine Optimization, Applied Machine Learning, Data Ethics, Data Mining, Customer Insights

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Random Forest Algorithm

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 2

      Skills you'll gain: Matplotlib, Data Visualization, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Keras (Neural Network Library), Artificial Intelligence, Scikit Learn (Machine Learning Library), Data Manipulation, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

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

    • Business intelligence and data warehousing: Universidad Nacional Autónoma de México
    • Introduction to Selenium: Coursera Instructor Network
    • Scalable Microservices for Developers: Vanderbilt University
    • Connect Your Services with Microsoft Azure Service Bus: Microsoft
    • Customer Service with Python: Build a Chatbot using ChatGPT: Coursera Project Network
    • Introduction to Android graphics: Imperial College London
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera Project Network
    • Machine Learning for Marketing: O.P. Jindal Global University
    • Introduction to Machine Learning in Sports Analytics: University of Michigan

    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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