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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
      M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Generative AI for Software Developers

      Skills you'll gain: Generative AI, Microsoft Copilot, Prompt Engineering, Test Case, Microsoft Visual Studio, Version Control, Code Review, Data Ethics, GitHub, Continuous Integration, Software Development Tools, Program Development, Software Documentation, Computer Programming Tools, Integrated Development Environments, Maintainability, Process Driven Development, Artificial Intelligence, Development Environment, Technical Documentation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      70 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Visualization with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      262 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      171 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Full Stack Software Developer Assessment

      Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Services, JavaScript Frameworks, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, Version Control, Cloud Development, CI/CD, Software Development, Cloud-Native Computing, Web Applications, Microservices, Containerization, Kubernetes, Web Development, Serverless Computing, Docker (Software)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      273 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Bioconductor for Genomic Data Science

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

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Project Management

      Skills you'll gain: Backlogs, Quality Management, Project Closure, Project Planning, Scope Management, Team Management, Agile Project Management, Budget Management, Project Risk Management, Milestones (Project Management), Team Leadership, Communication Planning, Project Scoping, Agile Software Development, Product Roadmaps, Sprint Retrospectives, Data-Driven Decision-Making, Project Management Life Cycle, Change Management, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      358 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      382 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure SQL

      Skills you'll gain: Database Systems, Microsoft Azure, Databases, Relational Databases, MySQL, SQL, Database Management, Cloud Services, PostgreSQL, Data Storage Technologies, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Logical Reasoning, Artificial Intelligence, Programming Principles, Computer Science, Computational Thinking, Algorithms, Game Theory

      4.8
      Rating, 4.8 out of 5 stars
      ·
      317 reviews

      Beginner · Course · 1 - 3 Months

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

    • Python Data Analytics: Meta
    • Generative AI for Software Developers: Microsoft
    • Data Visualization with R: IBM
    • DevOps, DataOps, MLOps: Duke University
    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Full Stack Software Developer Assessment: IBM
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes
    • Bioconductor for Genomic Data Science: Johns Hopkins University
    • Google Project Management: Google
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology

    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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