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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

    • DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Data-Driven Decision-Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Michigan

      Inferential Statistical Analysis with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      917 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      COVID19 Data Analysis Using Python

      Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: ChatGPT, Generative AI, Ideation, Verification And Validation, Document Management, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Creative Thinking, Artificial Intelligence, Creativity, Personalized Service, Risk Management Framework, Business Process Automation, Expense Management, Automation, Productivity Software, Strategic Thinking, Microsoft Excel, Python Programming, Business Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      National Taiwan University

      用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))

      Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Data Visualization Software, Business Analytics, Python Programming, Business Economics, User Interface (UI) Design, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • Coursera Project Network

      Python Basics: Create a Guessing Number Game from Scratch

      Skills you'll gain: Programming Principles, Python Programming, Program Development, Scripting, Computer Programming, Scripting Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • University of Colorado Boulder

      Expressway to Data Science: Python Programming

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Programming Principles, Scatter Plots, Computer Science, Computer Programming, Histogram, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Beginner · Specialization · 1 - 3 Months

    • University of California, Irvine

      The Raspberry Pi Platform and Python Programming for the Raspberry Pi

      Skills you'll gain: Linux, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Command-Line Interface, Development Environment, System Configuration, Embedded Systems, Python Programming, OS Process Management, User Interface (UI), Computer Hardware, UI Components, Software Installation, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • University of Michigan

      Python Fundamentals for Designers

      Skills you'll gain: Interactive Data Visualization, Interactive Design, Visualization (Computer Graphics), Python Programming, Computer Graphics, Computational Logic, Design, Computer Programming, Data Import/Export, Data Structures, Image Analysis

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Scatter Plots, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Beginner · Course · 1 - 3 Months

    • Codio

      Object-Oriented Python: Inheritance and Encapsulation

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      145 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Infosec

      Advanced Python - Reconnaissance

      Skills you'll gain: MITRE ATT&CK Framework, Penetration Testing, Cyber Operations, Scripting, Cybersecurity, Python Programming, Network Analysis, Automation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      52 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Inferential Statistical Analysis with Python: University of Michigan
    • COVID19 Data Analysis Using Python: Coursera Project Network
    • AI Agent Developer: Vanderbilt University
    • 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3)): National Taiwan University
    • Python Basics: Create a Guessing Number Game from Scratch: Coursera Project Network
    • Expressway to Data Science: Python Programming: University of Colorado Boulder
    • The Raspberry Pi Platform and Python Programming for the Raspberry Pi: University of California, Irvine
    • Python Fundamentals for Designers: University of Michigan
    • Foundations of Data Science: K-Means Clustering in Python: University of London

    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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