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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
      C

      Coursera Project Network

      Data Visualization & Storytelling in Python

      Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization Software, Statistical Visualization, Scatter Plots

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Foundations of Data Analysis with Pandas and Python

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Data Wrangling, Programming Principles, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Data Structures for Designers Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Software Design, Technical Design, Program Development, Data Structures, Visualization (Computer Graphics), Programming Principles, Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Interactive Design, Computer Graphic Techniques, Algorithms

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Select Topics in Python: Packaging

      Skills you'll gain: Package and Software Management, Platform As A Service (PaaS), Development Environment, Virtual Environment, Dependency Analysis, Python Programming, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners

      Skills you'll gain: Data Structures, Python Programming, Programming Principles, Scripting, Computer Programming, Data Management, Data Manipulation, Debugging, Computational Thinking, Jupyter, Maintainability, Scripting Languages, Data Storage

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Statistics, Applied Mathematics, Python Programming, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      862 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Data Analysis in Python: Using Pandas DataFrames

      Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Status: New
      New
      P

      Packt

      Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

      Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Data Modeling, Excel Formulas, Automation, Python Programming, Programming Principles, Scripting, Debugging

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      Universidad de los Andes

      Ciencia de datos​

      Skills you'll gain: Data Visualization, Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      501 reviews

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      A

      Akamai Technologies, Inc.

      Akamai Network Engineering

      Skills you'll gain: SQL, Linux, Endpoint Security, Database Management, Incident Response, Relational Databases, Network Security, Database Systems, Vulnerability Scanning, Linux Administration, File Systems, Routing Protocols, OSI Models, Application Development, Linux Commands, TCP/IP, Network Protocols, Scripting, MySQL, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      225 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      I

      IBM

      Application Development using Microservices and Serverless

      Skills you'll gain: Application Deployment, OpenShift, Cloud Applications, Serverless Computing, Microservices, Istio, API Gateway, Restful API, Cloud Computing, IBM Cloud, Kubernetes, Application Development, Containerization, Software Architecture, Flask (Web Framework)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      358 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of Pennsylvania

      Introduction to Java and Object-Oriented Programming

      Skills you'll gain: Java, Object Oriented Programming (OOP), Unit Testing, Data Structures, Software Testing, Program Development, Programming Principles, Test Driven Development (TDD), Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      320 reviews

      Beginner · Course · 1 - 4 Weeks

    Python learners also search

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    1…303132…97

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

    • Data Visualization & Storytelling in Python: Coursera Project Network
    • Foundations of Data Analysis with Pandas and Python: Packt
    • Data Structures for Designers Using Python: University of Michigan
    • Select Topics in Python: Packaging: Codio
    • BiteSize Python for Absolute Beginners: University of Colorado Boulder
    • Combinatorics and Probability: University of California San Diego
    • Data Analysis in Python: Using Pandas DataFrames: Coursera Project Network
    • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
    • Ciencia de datos​: Universidad de los Andes
    • Akamai Network Engineering: Akamai Technologies, Inc.

    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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