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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

    • 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

    • 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

    • D

      Duke University

      Object-Oriented Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Python Programming, Software Design Patterns, Simulations

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Concepts in Python: Loops, Functions and Returns

      Skills you'll gain: Computational Thinking, Python Programming, Scripting, Programming Principles, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      111 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Web Scraping with Python

      Skills you'll gain: Web Scraping, Extensible Markup Language (XML), Web Development Tools, Data Capture, Scripting, HTML and CSS, Unstructured Data, Web Applications

      3.2
      Rating, 3.2 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Interactive Data Visualization, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Processing, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      C

      Coursera Project Network

      Python for Beginners: Variables and Strings

      Skills you'll gain: Data Import/Export, Programming Principles, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      E

      EDHEC Business School

      Introduction to Portfolio Construction and Analysis with Python

      Skills you'll gain: Investment Management, Portfolio Management, Investments, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Python Programming, Simulations, Pandas (Python Package), Correlation Analysis, Matplotlib

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Building Generative AI-Powered Applications with Python

      Skills you'll gain: Generative AI, Web Applications, IBM Cloud, Python Programming, OpenAI, Serverless Computing, Cloud Applications, Front-End Web Development, Application Development, Artificial Intelligence, Natural Language Processing, Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Development Environment, Data Structures, Python Programming, NumPy, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      239 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Data Science, Matplotlib, Exploratory Data Analysis, Statistical Inference, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      432 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      R

      Rice University

      Python Data Visualization

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Software Installation, Scripting, Data Manipulation, Data Processing, Data Integration, Data Import/Export, Program Development, Technical Documentation, Scripting Languages, Data Structures, Software Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      542 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Practical Python for AI Coding 1: Korea Advanced Institute of Science and Technology(KAIST)
    • Data Structures and Algorithms: University of California San Diego
    • Object-Oriented Programming in Python: Duke University
    • Concepts in Python: Loops, Functions and Returns: Coursera Project Network
    • Web Scraping with Python: Duke University
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Python for Beginners: Variables and Strings: Coursera Project Network
    • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
    • Building Generative AI-Powered Applications with Python: IBM
    • Python and Pandas for Data Engineering: Duke 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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