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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 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

    • 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

    • 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

    • A

      Arizona State University

      Introduction to Python

      Skills you'll gain: Integrated Development Environments, Development Environment, Python Programming, Programming Principles, Scripting, Software Engineering, Computer Programming, Computer Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Cleansing, Data Storytelling, Data Collection, Data Visualization Software, Data Manipulation, Data Access, Python Programming, Exploratory Data Analysis, Algorithms, Web Scraping, Unstructured Data, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Python for Data Science

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

      4.1
      Rating, 4.1 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      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

    • Placeholder
      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

    • Placeholder
      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
      ·
      185 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Program Development, Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Data Analysis Software, Object Oriented Programming (OOP), Natural Language Processing, Scripting, Computational Thinking, NumPy, Algorithms, Debugging, Data Structures

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 1

      Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Scripting Languages, Computer Programming, Scripting, Program Development, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Debugging, Network Model, Bioinformatics, Advanced Mathematics, Operations Research, Data Storage, Development Testing, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Network Routing, Epidemiology, C++ (Programming Language), Infectious Diseases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Using Databases with Python: University of Michigan
    • Compose and Program Music in Python using Earsketch: Coursera Project Network
    • Python Data Analysis: Rice University
    • Introduction to Python: Arizona State University
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Python for Data Science: Fractal Analytics
    • Clean and analyze social media usage data with Python: Coursera Project Network
    • Python Functions, Files, and Dictionaries: University of Michigan
    • Programación en Python: Universidad de los Andes
    • Introduction to Programming: Ball State University

    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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