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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.


More to explore:

Popular Programming Courses and Certifications


  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    340 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

    Skills you'll gain: Microsoft Azure, Cloud Services, Relational Databases, Databases, Analytics, Data Storage, Data Lakes, NoSQL, Data Warehousing, SQL, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    142 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts: Part 2

    Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    321 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    CUDA at Scale for the Enterprise

    Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, C and C++, Distributed Computing, Computer Graphics, System Programming, Program Development, Performance Tuning, Data Structures, Algorithms

    3.2
    Rating, 3.2 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    AI Business School

    Introduction to AI for marketing professionals

    Skills you'll gain: Generative AI, Responsible AI, Risk Management, AI Product Strategy, AI Enablement, Marketing, Marketing Automation, Artificial Intelligence, MarTech, Content Creation, Digital Transformation

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Blockchain Basics and Smart Contract Foundations

    Skills you'll gain: Blockchain, FinTech, Application Development, Emerging Technologies, Computer Programming Tools, Program Development, Cryptography, Development Environment, Programming Principles, Transaction Processing, Data Structures, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Data Persistence, Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Decryption with Python

    Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Python Programming, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
  • Preparing for DP-900: Microsoft Azure Data Fundamentals Exam: Microsoft
  • Cloud Computing Concepts: Part 2: University of Illinois Urbana-Champaign
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Introduction to Machine Learning with Python: Arizona State University
  • CUDA at Scale for the Enterprise: Johns Hopkins University
  • Social Computing: Johns Hopkins University
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Introduction to AI for marketing professionals: AI Business School
  • Blockchain Basics and Smart Contract Foundations: Packt

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