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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

    What are GPTs and How can they work for my business?

    Skills you'll gain: ChatGPT, AI Enablement, Market Research, Financial Forecasting, AI Personalization, Business Solutions, LLM Application, Generative AI, Strategic Decision-Making, Supply Chain Management, Innovation, Forecasting, Customer Support, Artificial Intelligence

    3.8
    Rating, 3.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Glasgow

    Computational Thinking with JavaScript 2: Model & Analyse

    Skills you'll gain: JSON, Data Structures, Analytics, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Modeling, Machine Learning, Programming Principles, Object Oriented Programming (OOP), Computer Programming, Algorithms, Software Development

    Beginner · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    GenAI for Compliance Officers: Streamline Regulatory Reports

    Skills you'll gain: Compliance Reporting, Prompt Engineering, Google Gemini, AI Workflows, Compliance Management, Microsoft Copilot, Generative AI, Business Process Automation, Regulatory Requirements, Data Validation, Business Workflow Analysis, Process Design, Verification And Validation, Automation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate R scripts with GitHub Actions: Deploy a model

    Skills you'll gain: Model Deployment, Analytics, R Programming, Google Sheets, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System), Command-Line Interface

    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

  • 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

    Pearson

    Java SE 17 Developer (1Z0-829): Unit 2

    Skills you'll gain: Programming Principles, Java, Data Structures, Program Development, Eclipse (Software), Object Oriented Programming (OOP), Computer Programming, Debugging, Application Programming Interface (API), Database Application

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Intro to NumPy

    Skills you'll gain: NumPy, Scientific Visualization, Data Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    The Ultimate Hands-On Hadoop

    Skills you'll gain: Apache Hadoop, Real Time Data, Apache Spark, Apache Kafka, Data Integration, Apache Hive, Big Data, Applied Machine Learning, System Design and Implementation, Distributed Computing, Data Processing, NoSQL, MongoDB, SQL, Scalability

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Getting Started with Puppet

    Skills you'll gain: Puppet (Configuration Management Tool), Devops Tools, YAML, Software Installation, Infrastructure as Code (IaC), System Configuration, DevOps, Configuration Management, IT Automation, Database Management

    3.1
    Rating, 3.1 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • What are GPTs and How can they work for my business?: Coursera
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Computational Thinking with JavaScript 2: Model & Analyse: University of Glasgow
  • Statistical Methods: University of Leeds
  • GenAI for Compliance Officers: Streamline Regulatory Reports: Coursera
  • Automate R scripts with GitHub Actions: Deploy a model: Coursera
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Machine Learning with PySpark: Recommender System: Coursera
  • Java SE 17 Developer (1Z0-829): Unit 2: Pearson
  • Intro to NumPy: Packt

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