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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

    • Codio

      Python Object Basics: Functions, Recursion, and Objects

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Python Programming, Scripting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Forecasting, Data Manipulation, Python Programming

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Infosec

      Python for Command-and-control, Exfiltration and Impact

      Skills you'll gain: Cyber Operations, Threat Management, Threat Detection, Cybersecurity, Scripting, IT Automation, Command-Line Interface, Python Programming, Network Security, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Create Your First Web App with Python and Flask

      Skills you'll gain: Flask (Web Framework), Web Development, Web Applications, Web Development Tools, Object-Relational Mapping, Database Application, Back-End Web Development, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      545 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Duke University

      Applied Python Data Engineering

      Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Kubernetes, Matplotlib, Data Engineering, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Cloud Engineering, Apache Hadoop

      3.8
      Rating, 3.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Universidad Austral

      Programación Orientada a Objetos con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Software Design, Test Driven Development (TDD), Unit Testing, Object Oriented Programming (OOP), Software Testing, Software Quality (SQA/SQC), Software Development, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      271 reviews

      Beginner · Course · 1 - 4 Weeks

    • Akamai Technologies, Inc.

      Python Scripting Fundamentals

      Skills you'll gain: Application Development, Scripting, MySQL, Data Structures, Python Programming, Program Development, Database Management, Web Applications, Computer Programming, File Management, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, Development Testing, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • IBM

      Generative AI for Data Analysts

      Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Data Processing, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, Big Data, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New

      Microsoft

      Project Development in Python

      Skills you'll gain: DevOps, Agile Methodology, Application Deployment, Docker (Software), Project Management, Continuous Integration, Technical Communication, Needs Assessment, Prometheus (Software), Business Requirements, Python Programming, Natural Language Processing, Collaboration, Communication, Professional Networking, Interviewing Skills

      Beginner · Course · 1 - 3 Months

    • Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    Python learners also search

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

    • Python Object Basics: Functions, Recursion, and Objects: Codio
    • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Python for Command-and-control, Exfiltration and Impact: Infosec
    • Create Your First Web App with Python and Flask: Coursera Project Network
    • Applied Python Data Engineering: Duke University
    • Programación Orientada a Objetos con Python: Universidad Austral
    • Python Scripting Fundamentals: Akamai Technologies, Inc.
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
    • Generative AI for Data Analysts: IBM
    • Genomic Data Science: Johns Hopkins 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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