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Python For Beginners Courses

Python for Beginners courses can help you learn basic programming concepts, data types, control structures, and functions. You can build skills in writing clean code, debugging, and using libraries like NumPy and pandas for data manipulation. Many courses also cover practical applications such as web scraping, data visualization, and automating tasks, providing hands-on experience with tools like Jupyter Notebook and Git.

Popular Python For Beginners Courses and Certifications


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    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    234K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Sponsored
    Sponsored
    Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, SQL, Plot (Graphics), Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    151K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Crash Course on Python

    Skills you'll gain: Program Development, Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Computer Programming Tools, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    41K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Basics

    Skills you'll gain: Debugging, Programming Principles, Program Development, Python Programming, Data Structures, Computer Programming, Computational Logic, Computer Graphics, Diagram Design, Graphical Tools

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python for Everybody

    Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, File I/O, Data Store, Data Visualization, Database Software, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Data Presentation, Data Structures, Programming Principles, Python Programming, Program Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    281K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI Python for Beginners

    Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, AI Integrations, Scripting, Programming Principles, Automation, Computer Programming, Application Programming Interface (API), Package and Software Management, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    254 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming in Python

    Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Test Script Development, Programming Principles, Software Testing, Data Structures, Python Programming, Program Development, Computer Programming, Development Environment, Debugging, Django (Web Framework), Functional Design, Package and Software Management, Cloud Hosting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Python Development

    Skills you'll gain: Web Scraping, Git (Version Control System), Data Structures, GitHub, Generative AI, Devops Tools, Matplotlib, Data Visualization, DevOps, Agile Methodology, Web Development, Version Control, Debugging, Data Literacy, Scripting, Flask (Web Framework), Plotly, Automation, Data Analysis, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    753 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • J

    JetBrains

    Python from Scratch: Learn by Coding

    Skills you'll gain: Object Oriented Design, File I/O, Data Structures, Python Programming, Programming Principles, Code Reusability, Computer Programming, Scripting, Data Processing, Package and Software Management, Code Review, Computational Logic, NumPy, Development Environment, Integrated Development Environments, Computational Thinking, Software Installation, Numerical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Create Your First Python Program From UST

    Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Scripting, Computer Programming, Computer Programming Tools, Program Development, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Exploratory Data Analysis, Computer Programming, Mathematical Software, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…834

In summary, here are 10 of our most popular Python for beginners courses

  • Python for Data Science, AI & Development: IBM
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • IBM Data Science: IBM
  • Crash Course on Python: Google
  • Python Basics: University of Michigan
  • Python for Everybody: University of Michigan
  • AI Python for Beginners: DeepLearning.AI
  • Programming in Python: Meta
  • Microsoft Python Development: Microsoft
  • Python from Scratch: Learn by Coding: JetBrains

Frequently Asked Questions about Python For Beginners

Python for beginners refers to introductory programming courses designed to teach the fundamentals of Python, a versatile and widely-used programming language. Learning Python is important because it serves as a gateway to various fields such as web development, data analysis, artificial intelligence, and automation. Its simple syntax and readability make it an ideal choice for those new to programming, allowing learners to focus on problem-solving rather than getting bogged down by complex code.‎

With a foundation in Python for beginners, you can pursue various job roles, including junior software developer, data analyst, web developer, and automation engineer. Many companies seek individuals who can leverage Python to streamline processes, analyze data, or develop applications. As Python continues to grow in popularity across industries, the demand for professionals with basic Python skills remains strong.‎

To learn Python for beginners, you should focus on several key skills: understanding basic programming concepts such as variables, data types, and control structures; learning how to write functions and handle errors; and becoming familiar with data structures like lists, dictionaries, and sets. Additionally, gaining experience with libraries and frameworks can enhance your learning and application of Python in real-world scenarios.‎

Some of the best online courses for Python for beginners include the BiteSize Python for Absolute Beginners Specialization and the AI Python for Beginners. These courses provide structured learning paths that cover essential topics and practical applications, making them suitable for those starting their programming journey.‎

Yes. You can start learning Python for beginners on Coursera for free in two ways:

  1. Preview the first module of many Python for beginners courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in Python for beginners, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Python for beginners, start by choosing an online course that suits your learning style. Dedicate regular time to practice coding, and work on small projects to apply what you've learned. Utilize resources like coding communities and forums for support and guidance. Consistency and practice are key to building your confidence and skills in Python.‎

Typical topics covered in Python for beginners courses include basic syntax, data types, control flow (if statements, loops), functions, and data structures (lists, tuples, dictionaries). Additionally, many courses introduce libraries and tools that enhance Python's capabilities, such as data visualization and web scraping techniques.‎

For training and upskilling employees, courses like the BiteSize Python for Absolute Beginners: Essentials and Web Scraping Tutorial with Scrapy and Python for Beginners are excellent choices. These courses provide practical skills that can be directly applied in the workplace, enhancing productivity and efficiency.‎

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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