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Programming Courses

Programming courses can help you learn coding languages like Python, Java, and JavaScript, as well as concepts such as algorithms, data structures, and software development methodologies. You can build skills in debugging, version control, and writing efficient code. Many courses introduce tools like Git for version control, integrated development environments (IDEs) like Visual Studio Code, and frameworks such as React or Django, that support developing web applications and software solutions.


Popular Programming Courses and Certifications


  • C

    Coursera

    Create Your First Python Program From UST

    Skills you'll gain: Bash (Scripting Language), Python Programming, Unix Shell, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Object-Oriented Programming in Python

    Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Python Programming, Computer Programming, Software Engineering, Simulations

    3.8
    Rating, 3.8 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Programming in C#: A comprehensive approach to C# Fundamentals

    Skills you'll gain: Microsoft Visual Studio, C# (Programming Language), Integrated Development Environments, Programming Principles, Computer Programming, Command-Line Interface, Computational Logic

    4.4
    Rating, 4.4 out of 5 stars
    ·
    219 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Introduction to Basic Game Development using Scratch

    Skills you'll gain: Event-Driven Programming, Debugging, Programming Principles, Algorithms, Video Game Development, Computer Programming Tools, Game Design, Computer Programming, Program Development, Animation and Game Design, Interactive Design, Integrated Development Environments, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Compose and Program Music in Python using Earsketch

    Skills you'll gain: Musical Composition, Music, Computer Programming, Program Development, Programming Principles, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    458 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    TypeScript Variables and Data Types

    Skills you'll gain: TypeScript, Programming Principles, Web Development Tools, Javascript, Web Components

    4.4
    Rating, 4.4 out of 5 stars
    ·
    100 reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Next level skills. New Year savings.

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  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

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

  • Create Your First Python Program From UST: Coursera
  • Object-Oriented Programming in Python: Duke University
  • Programming in C#: A comprehensive approach to C# Fundamentals: Coursera
  • Introduction to Basic Game Development using Scratch: Coursera
  • Compose and Program Music in Python using Earsketch: Coursera
  • TypeScript Variables and Data Types: Coursera
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Object Localization with TensorFlow: Coursera
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Creating Multi Task Models With Keras: Coursera

Frequently Asked Questions about Programming

Programming is the process of creating a set of instructions that a computer can follow to perform specific tasks. It is a fundamental skill in today's digital world, enabling the development of software applications, websites, and systems that drive innovation and efficiency across various industries. Understanding programming is essential not only for those looking to enter tech-related fields but also for anyone interested in enhancing their problem-solving skills and logical thinking.‎

A variety of job opportunities exist in the programming field, ranging from software developers and web developers to data analysts and systems engineers. Positions such as mobile app developers, game developers, and database administrators also fall under the programming umbrella. The demand for skilled programmers continues to grow, making it a promising career path for those equipped with the right skills.‎

To succeed in programming, you should develop a solid foundation in several key skills. These include understanding programming languages such as Python, Java, or C++, as well as concepts like algorithms, data structures, and software development methodologies. Familiarity with version control systems, debugging techniques, and problem-solving strategies is also crucial. Building a portfolio of projects can further enhance your employability.‎

There are many excellent online programming courses available that cater to different skill levels and interests. For beginners, courses like the C Programming for Everybody Specialization provide a comprehensive introduction. More advanced learners might consider the C, Go, and C++: A Comprehensive Introduction to Programming Specialization to deepen their knowledge.‎

Yes. You can start learning programming on Coursera for free in two ways:

  1. Preview the first module of many programming courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in programming, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning programming can be approached through various methods. Start by selecting a programming language that interests you and find online resources or courses that suit your learning style. Practice coding regularly, work on small projects, and engage with online communities for support. Utilizing platforms like Coursera can provide structured learning paths and access to expert instructors.‎

Programming courses typically cover a range of topics, including syntax and semantics of programming languages, control structures, data types, functions, and object-oriented programming. Advanced courses may explore algorithms, software design principles, and application development. Hands-on projects are often included to reinforce learning and provide practical experience.‎

For training and upskilling employees, courses like the Microsoft R Programming for Everyone Professional Certificate can be particularly beneficial. These programs are designed to enhance programming skills relevant to industry needs, ensuring that employees are equipped with the latest knowledge and techniques.‎

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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