Python Programming

Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. Coursera's Python Programming catalogue teaches you how to use Python effectively, from its syntax to its standard libraries. You'll learn to write clean and efficient code, develop real-world applications, perform data analysis, and create machine learning algorithms using Python. This skill will equip you with the ability to master backend development, automation, data science, artificial intelligence and more. Discover the power of Python and its vital role in today's technology landscape.
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Results for "python programming"

  • Status: Preview

    Skills you'll gain: Web Scraping, Restful API, Network Protocols, JSON, Extensible Markup Language (XML), Data Access, TCP/IP, Application Programming Interface (API), Data Import/Export, Hypertext Markup Language (HTML), Data Processing, Python Programming, Software Installation, Development Environment

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Data Structures, Computer Programming, Software Design, Python Programming, Java, Algorithms, Performance Tuning, Debugging

  • Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization, Data Visualization Software, OpenAI, ChatGPT, Large Language Modeling, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: MITRE ATT&CK Framework, Network Security, Cybersecurity, Exploitation techniques, Cyber Operations, Python Programming, Data Access, Authorization (Computing), Authentications, Scripting, Network Protocols, User Accounts

  • Status: Preview

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Programming Principles, Computational Thinking, Scripting, Problem Management, Data Structures, Debugging, Software Documentation

  • Status: Preview

    Skills you'll gain: Text Mining, Unstructured Data, Health Informatics, Natural Language Processing, Data Mining, Clinical Informatics, Deep Learning, Machine Learning, Medical Science and Research, Medical Terminology, Artificial Neural Networks, Python Programming, Computer Programming, Computer Programming Tools

  • Status: Free Trial

    Skills you'll gain: GitHub, Git (Version Control System), Version Control, Selenium (Software), CI/CD, Test Automation, Object Oriented Programming (OOP), Test Data, Unit Testing, Test Case, Regression Testing, Scenario Testing, Test Execution Engine, Software Testing, Web Development Tools, Javascript, Browser Compatibility, Scripting, Automation, Python Programming

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Engineering, Scientific, and Technical Instruments, Robotic Process Automation, Data Mapping, Real-Time Operating Systems, Data Structures, Linear Algebra, Python Programming, Algorithms, Computer Science, Computer Programming

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting Languages, Programming Principles, Data Management, Debugging, Database Management, Functional Testing, Databases

  • Skills you'll gain: PyTorch (Machine Learning Library), Medical Imaging, Radiology, Image Analysis, X-Ray Computed Tomography, Deep Learning, Python Programming

  • Status: Free Trial

    Skills you'll gain: Python Programming, Programming Principles, Scripting, Jupyter, Computer Programming Tools, Data Storage

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    This role has a $142,208 median salary ¹.

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    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

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