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    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

    • U

      University of Leeds

      An Introduction to Programming using Python

      Skills you'll gain: Programming Principles, Computational Logic, Python Programming, Computer Programming, Automation, Web Development, Algorithms, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      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

    • C

      Coursera Project Network

      Clean and analyze social media usage data with Python

      Skills you'll gain: Data Visualization, Matplotlib, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Jupyter

      4.1
      Rating, 4.1 out of 5 stars
      ·
      32 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Functional Design, Data Structures, Algorithms, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Algorithms, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      An Introduction to Interactive Programming in Python (Part 1)

      Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Graphical Tools, User Interface (UI), Programming Principles, Computer Graphics, Python Programming, Program Development, Computer Programming, Simulations, Development Environment, Debugging, Arithmetic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • R

      Rice University

      Python Data Analysis

      Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Scripting Languages, Data Analysis, Python Programming, Data Storage, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      887 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Machine Learning Algorithms

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Using Databases with Python

      Skills you'll gain: Relational Databases, Database Design, SQL, Databases, Web Scraping, Data Modeling, Database Management, Data Visualization Software, Object Oriented Programming (OOP), Data Processing, Data Storage, Python Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Programación en Python

      Skills you'll gain: Data Visualization Software, Program Development, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Data Import/Export, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      191 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fractal Analytics

      Python for Data Science

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Data Presentation, Statistical Methods, Statistical Analysis, Probability & Statistics, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Data Cleansing, Python Programming, Matplotlib

      4
      Rating, 4 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

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

    • An Introduction to Programming using Python: University of Leeds
    • Applied Machine Learning in Python: University of Michigan
    • Compose and Program Music in Python using Earsketch: Coursera Project Network
    • Clean and analyze social media usage data with Python: Coursera Project Network
    • Python Functions, Files, and Dictionaries: University of Michigan
    • Introduction to Programming: Ball State University
    • An Introduction to Interactive Programming in Python (Part 1): Rice University
    • Python Data Analysis: Rice University
    • Deep Learning: DeepLearning.AI
    • Using Databases with Python: University of Michigan

    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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