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    • Python

    Python Courses Online

    Master Python for versatile programming. Learn Python syntax, data structures, and libraries for web development, data science, and automation.

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    Explore the Python Course Catalog

    • Placeholder
      U

      University of Michigan

      Using Python to Access Web Data

      Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Processing, TCP/IP, Python Programming, Scripting, Hypertext Markup Language (HTML), Data Manipulation, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Scrimba

      Learn Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Programming Principles, User Interface (UI), Scripting, Performance Tuning, Scripting Languages, File Management, Computer Programming, Computational Thinking, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Unit Testing, Python Programming, Maintainability, Software Design Patterns, Software Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Python Programming Essentials

      Skills you'll gain: Programming Principles, Python Programming, Computational Logic, Development Environment, Computer Programming, Scripting Languages, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Application Development, Python Programming, Web Applications, Restful API, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Capture, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      369 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Skills you'll gain: Python Programming, Data Structures, Computer Programming, Program Development, Scripting, Scripting Languages, Algorithms, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      C

      Coursera Project Network

      Compose and Program Music in Python using Earsketch

      Skills you'll gain: Computer Programming, Programming Principles, Python Programming, Scripting, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      455 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      D

      Duke University

      Python Programming Fundamentals

      Skills you'll gain: Computational Thinking, Debugging, Algorithms, Program Development, Integrated Development Environments, Software Testing, Programming Principles, Data Processing, Data Manipulation, Python Programming, Microsoft Development Tools, Software Development, Data Analysis, Computer Programming, Scripting Languages

      3.9
      Rating, 3.9 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Using Python to Access Web Data: University of Michigan
    • Learn Python: Scrimba
    • IBM AI Developer: IBM
    • Python Classes and Inheritance: University of Michigan
    • Python Programming Essentials: Rice University
    • Developing AI Applications with Python and Flask: IBM
    • Data Processing Using Python: Nanjing University
    • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile
    • IBM Data Analyst: IBM
    • Compose and Program Music in Python using Earsketch: Coursera Project Network

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Python

    Knowing why you want to learn Python, be it for data analysis, web development, or automating tasks, can help you stay focused. Regular practice with Python solidifies your understanding and improves problem-solving skills. Engage with coding communities like Stack Overflow or Reddit’s r/learnpython for support and insights. Work on real projects such as developing small scripts or applications. Coursera’s Python for Everybody by the University of Michigan is an excellent place to start.‎

    Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers:

    • Basic syntax and fundamentals of Python programming
    • Application of Python in data analysis, web development, and machine learning
    • Writing and debugging Python scripts and programs
    • Data visualization with libraries like Matplotlib and Seaborn
    • Use of libraries and frameworks such as Pandas, Flask, and Django
    • Automation of common system administration tasks using Python‎

    Python courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with introductory courses that cover the basics of Python and programming concepts.
    • Intermediate learners can enhance their skills in specific applications like web development or data science.
    • Advanced programmers can explore in-depth topics such as algorithmic programming and complex data structures in Python.

    Test your Python skills with our Python Skill Assessment to gauge your proficiency and readiness for advanced topics.‎

    Coursera provides several credential options for learners who complete Python courses:

    • Professional certificates that validate your Python programming skills.
    • Specializations that go into detail in areas like artificial intelligence, cybersecurity, or big data.
    • Certificates that are recognized by industry leaders and can help pave the way for career advancement.‎

    Python is a versatile language that opens the door to numerous career paths:

    • Software Developer, creating applications and software solutions using Python.
    • Data Analyst, deriving insights from data sets with Python’s analytical tools.
    • Machine Learning Engineer, building and training models using Python’s machine learning libraries.
    • Web Developer, designing and maintaining websites with Python’s web frameworks.
    • Automation Engineer, implementing automation scripts that streamline business processes.‎

    Yes, Coursera offers a variety of free courses across many topics, including Python. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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