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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    A Python Developer specializes in writing server-side web application logic.

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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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Results for "python data science"

  • Skills you'll gain: JSON, Application Programming Interface (API), Application Development, Data Access, Restful API, Python Programming, User Interface (UI)

  • Status: Preview

    Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Algorithms, Data Structures, Graph Theory, Operations Research, Theoretical Computer Science, Public Key Cryptography Standards (PKCS), Computer Programming, Computational Thinking, Cryptography, Programming Principles, Computer Science, Applied Mathematics, Tree Maps, Encryption, Python Programming, Combinatorics, Data Science, Advanced Mathematics, Mathematical Modeling, Design Strategies

  • Status: Free Trial

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science

  • Duke University

    Skills you'll gain: Package and Software Management, Virtual Environment, Development Environment, Software Installation, Python Programming, Command-Line Interface

  • Duke University

    Skills you'll gain: Python Programming, Data Pipelines, Scripting, Computer Programming, Data-oriented programming, Scripting Languages, Software Engineering

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    University of Colorado Boulder

    Skills you'll gain: Functional Design, Scripting, Scripting Languages, Python Programming, Data Science, Programming Principles, Computer Programming, Software Engineering

  • Status: Free Trial

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

  • Coursera Project Network

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

  • Status: Preview

    Skills you'll gain: Data Structures, Data Processing, Data Manipulation, Python Programming, Data Storage, File Management, Computer Programming, Software Installation, Development Environment

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    Arizona State University

    Skills you'll gain: Integrated Development Environments, Development Environment, Python Programming, Programming Principles, Scripting, Software Engineering, Computer Programming, Computer Engineering

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    Johns Hopkins University

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

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