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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

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Toronto

      Learn to Program: The Fundamentals

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Software Testing, Application Development, Python Programming, Package and Software Management, Web Applications, 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

    • U

      University of Colorado Boulder

      Introduction to Python Fundamentals

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      205 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python 101: Develop Your First Python Program

      Skills you'll gain: Game Design, Program Development, Python Programming, Computer Programming, Scripting, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      243 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      194 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Package and Software Management, Network Security, Network Troubleshooting, Systems Administration, Cloud Infrastructure, Network Administration, IT Infrastructure, TCP/IP, Information Systems Security, File Systems, Microsoft Windows, Desktop Support, Network Protocols, Lightweight Directory Access Protocols, Cybersecurity, Application Security, Computer Hardware, Technical Support, Software Installation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      202K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, 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

    • U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      333 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Python Classes and Inheritance

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

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

      Intermediate · Course · 1 - 4 Weeks

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

    • Data Science Fundamentals with Python and SQL: IBM
    • Learn to Program: The Fundamentals: University of Toronto
    • Developing AI Applications with Python and Flask: IBM
    • Introduction to Python Fundamentals: University of Colorado Boulder
    • Python 101: Develop Your First Python Program: Coursera Project Network
    • Python Data Analytics: Meta
    • Google IT Support: Google
    • Introduction to Data Science in Python: University of Michigan
    • Data Analysis Using Python: University of Pennsylvania
    • Applying Python for Data Analysis: Coursera Instructor 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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