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Programming Languages Courses

Programming languages courses can help you learn syntax, data structures, algorithms, and object-oriented programming. You can build skills in debugging, code optimization, and software development methodologies. Many courses introduce tools like Git for version control, integrated development environments (IDEs) such as Visual Studio Code, and frameworks like React or Django, that support creating robust applications and enhancing your coding efficiency.


Popular Programming Languages Courses and Certifications


  • B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Geometry, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Scrimba

    React Technical Interview Practice Questions

    Skills you'll gain: React.js, Cascading Style Sheets (CSS), Event-Driven Programming, User Experience Design, User Interface (UI), Front-End Web Development, Data Management, JavaScript Frameworks, Javascript, API Design, Data Validation, Real Time Data, Web Development

    Intermediate · Course · 1 - 4 Weeks

  • S

    SkillUp

    GenAI for Software Developers

    Skills you'll gain: Prompt Engineering, AI Workflows, AI Orchestration, Generative AI, ChatGPT, OpenAI API, Microsoft Copilot, AI Enablement, Software Architecture, Integrated Development Environments, Code Review, Software Design, API Design, Debugging, Software Development, Application Development, AI Security, Database Design, Python Programming, Automation

    2.2
    Rating, 2.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • M

    Microsoft

    JavaScript Data and Applications

    Skills you'll gain: Performance Tuning, Software Testing, Unit Testing, Software Documentation, Application Programming Interface (API), Web Applications, Test Driven Development (TDD), Node.JS, Debugging, Maintainability, Javascript, Software Architecture, JSON, Real Time Data, Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Replit Essentials: Collaborate, Create, and Code Smarter

    Skills you'll gain: Collaborative Software, Version Control, Integrated Development Environments, Debugging, Git (Version Control System), Application Deployment, Cloud Deployment, Cloud Development, GitHub, Development Environment, Application Development, Continuous Deployment, File Management, Software Development Tools, Secure Coding, Configuration Management, Cloud Storage

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Project on Recommendation Engine - Book Recommender

    Skills you'll gain: Data Preprocessing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Scikit Learn (Machine Learning Library), Python Programming, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Web Development in Node.js: Build Your First Website

    Skills you'll gain: Node.JS, Web Development, HTML and CSS, Front-End Web Development, Web Servers, Cascading Style Sheets (CSS), Web Applications, Server Side, Javascript, Middleware, Back-End Web Development

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Statistical Methods: University of Leeds
  • React Technical Interview Practice Questions: Scrimba
  • GenAI for Software Developers: SkillUp
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Machine Learning with PySpark: Recommender System: Coursera
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • JavaScript Data and Applications: Microsoft
  • Replit Essentials: Collaborate, Create, and Code Smarter: Coursera
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington

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Object-oriented Programming (13)
Kubernetes (10)
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