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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
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Linux Foundation

      Linux Tools for Developers

      Skills you'll gain: Bash (Scripting Language), File Systems, Package and Software Management, Linux, Command-Line Interface, Unix Commands, Linux Commands, Shell Script, Linux Administration, Unix Shell, Scripting, Software Development Tools, File Management, Unix, Program Development, Operating Systems, Java, C and C++, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      730 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Django Features and Libraries

      Skills you'll gain: Application Deployment, Django (Web Framework), Application Development, Web Development, Web Applications, Object-Relational Mapping, Database Design, Data Modeling, Authentications, User Accounts, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      394 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      CSS

      Skills you'll gain: Responsive Web Design, HTML and CSS, Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Typography, Web Design, Web Development Tools, Browser Compatibility, Front-End Web Development, Web Development, Web Design and Development, Animations, UI Components, Development Environment, User Interface and User Experience (UI/UX) Design, Javascript, Maintainability, Interactive Design, Web Applications, GitHub

      4.6
      Rating, 4.6 out of 5 stars
      ·
      169 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Job Control Language (JCL), Command-Line Interface, Performance Tuning, Computer Architecture

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      HTML and CSS: Building a Single-Page Website

      Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Applications, Web Design and Development, Web Design, Front-End Web Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      542 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      261 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Full Stack Software Developer Assessment

      Skills you'll gain: Cloud Computing, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, CI/CD, Software Development, Cloud-Native Computing, Web Applications, Microservices, Containerization, GitHub, Kubernetes, Web Development, Node.JS, Git (Version Control System), Serverless Computing, Docker (Software), Server Side, Django (Web Framework)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      273 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Return On Investment, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Regression Analysis, Risk Analysis, Risk Management, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      381 reviews

      Intermediate · Course · 1 - 3 Months

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    1…686970…285

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

    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Linux Tools for Developers: The Linux Foundation
    • Django Features and Libraries: University of Michigan
    • CSS: Scrimba
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • HTML and CSS: Building a Single-Page Website: Coursera Project Network
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Data Visualization with R: IBM
    • Full Stack Software Developer Assessment: IBM

    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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