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    Python Courses Online

    Discover Python courses that cover skills in programming, data analysis, and automation. Prepare for careers in software development, data science, and machine learning.

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    Explore the Python Course Catalog

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Computer Programming, Python Programming, Computer Programming Tools, Programming Principles, Data Structures, Computational Thinking, Computational Logic, Data Analysis, Software Engineering, Algorithms, Critical Thinking, Problem Solving, Database Application, Databases, Theoretical Computer Science, Database Administration, Data Model, Data Visualization, Database Design, Database Theory, Web Development, Web Development Tools, Computer Networking, SQL, HTML and CSS, Other Web Frameworks

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      275K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Computer Programming, Data Structures, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Plot (Graphics), Probability & Statistics, Python Programming, Regression

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Python Basics

      Skills you'll gain: Computer Programming, Python Programming, Problem Solving

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

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      Programming in Python

      Skills you'll gain: Python Programming, Programming Principles, Big Data, Software Testing, Algorithms, Computer Programming, Django (Web Framework), Tensorflow

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Create Your First Python Program From UST

      Skills you'll gain: Computer Programming, Python Programming, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      Infosec

      Python for Cybersecurity

      Skills you'll gain: Python Programming, Computer Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      423 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Algorithms, Computational Logic, Computational Thinking, Computer Programming, Computer Programming Tools, Critical Thinking, Problem Solving, Programming Principles, Python Programming, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      229K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Computer Programming, Python Programming, Data Analysis, Programming Principles, Data Structures, Mathematical Theory & Analysis, Statistical Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      356 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Introduction to Python

      Skills you'll gain: Computer Programming, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.1K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Basic Descriptive Statistics, Computer Programming, Data Analysis, Finance, Financial Analysis, Probability & Statistics, Python Programming, Statistical Analysis, General Statistics, Probability Distribution, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.3K reviews

      Intermediate · Course · 1 - 4 Weeks

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    1234…95

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

    • Python for Data Science, AI & Development: IBM
    • Python for Everybody: University of Michigan
    • Crash Course on Python: Google
    • Data Analysis with Python: IBM
    • Python Basics: University of Michigan
    • Programming in Python: Meta
    • Create Your First Python Program From UST: Coursera Project Network
    • Python for Cybersecurity: Infosec
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Data Processing Using Python: Nanjing University

    Selecting Python Certificate Courses

    Python offers diverse learning opportunities for both beginners and experienced programmers. Introductory classes cover the basics of programming, including data types, loops, and functions. More advanced learners can earn certificates in areas like data analysis, web development, and automation. Certifications help demonstrate expertise in Python libraries such as Pandas, NumPy, and Flask, which are critical for fields like machine learning and data science. Full programs provide hands-on projects and training, preparing you for careers in software development, data analytics, and AI.

    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

    Python courses usually cover a range of topics to help learners become proficient in this versatile programming language. These include basic syntax and data types, control structures, functions, and error handling. More advanced courses explore object-oriented programming, data manipulation with libraries like Pandas, web development with Django or Flask, and machine learning with TensorFlow or scikit-learn. Courses often include hands-on projects to apply Python in real-world scenarios, such as data analysis, automation, and web development.‎

    Choosing the right Python course depends on your current skill level and career aspirations. Beginners should look for courses that start with the basics of Python programming and gradually introduce more complex topics. Intermediate learners might benefit from courses focusing on specific applications like data science, web development, or automation. Advanced learners or professionals seeking specialized knowledge might consider courses on machine learning, deep learning, or advanced data analysis. Reviewing course content, instructor credentials, and learner feedback can help ensure the course aligns with your goals.‎

    A certificate in Python programming can open up various career opportunities in diverse fields. Common roles include software developer, data analyst, data scientist, and web developer. These positions involve using Python to develop applications, analyze and visualize data, automate tasks, and build websites. Python's versatility and widespread use across industries such as technology, finance, healthcare, and academia make it a valuable skill, enhancing career prospects and opportunities for advancement.‎

    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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