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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

    • C

      Coursera Project Network

      Machine Learning for Kyphosis Disease Classification

      Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Transformation, Data Processing, Statistical Machine Learning, Predictive Analytics, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Securing and Integrating Components of your Application 日本語版

      Skills you'll gain: Cloud-Native Computing, Cloud Applications, Cloud API, Google Cloud Platform, Application Programming Interface (API), Authentications, Serverless Computing, Identity and Access Management, API Design, Event-Driven Programming, Cloud Services, Restful API, Microservices, Node.JS, Authorization (Computing)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Coding with Generative AI

      Skills you'll gain: Generative AI, Object Oriented Programming (OOP), Artificial Neural Networks, Computer Programming, Deep Learning, Artificial Intelligence, Debugging, Python Programming, Semantic Web, Natural Language Processing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Pandas for Data Science

      Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Transformation, Data Validation, Data Integration, Python Programming, Data Import/Export, Data Analysis, File Management, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Limpieza de datos para el procesamiento de lenguaje natural

      Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Data Transformation, Text Mining, Hypertext Markup Language (HTML), Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EDUCBA

      Advanced Smart Contract Development

      Skills you'll gain: Blockchain, Secure Coding, Authorization (Computing), Role-Based Access Control (RBAC), User Provisioning, Authentications, Application Security, Security Controls, Program Development, Transaction Processing, Software Development, Development Testing, Development Environment, Payment Systems, Computer Programming, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Getting Started with Application Development 日本語版

      Skills you'll gain: Cloud Applications, Google Cloud Platform, Application Development, Cloud API, Cloud Storage, Data Storage, Cloud Services, Data Store, Software Development, Node.JS, NoSQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Robotic Path Planning and Task Execution

      Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Graph Theory, Algorithms, Computer Vision, Data Structures, Simulations

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Data Storytelling

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Interactive Data Visualization, Tableau Software, Data Visualization, Storytelling, Data Visualization Software, Business Intelligence, Data Analysis, Business Analytics, Analytics, Strategic Communication, Data Cleansing, Data Manipulation, Communication

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Interactive Data Visualization, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Data Collection and Integration

      Skills you'll gain: Web Scraping, Data Integration, Data Cleansing, Data Import/Export, Data Quality, Data Processing, Data Collection, Data Manipulation, SQL, MySQL, Databases, Query Languages, Extensible Markup Language (XML), Pandas (Python Package), Application Programming Interface (API), Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidades Anáhuac

      Ciencia de Datos Aplicada al Marketing

      Skills you'll gain: Data Processing, Data Analysis, Regression Analysis, SPSS, Marketing Analytics, Market Research, Business Intelligence, Statistical Analysis, Data Mining, Data-Driven Decision-Making, Quantitative Research, Market Analysis, Marketing Strategies, Consumer Behaviour, Microsoft Excel

      Beginner · Course · 1 - 3 Months

    Python learners also search

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

    • Machine Learning for Kyphosis Disease Classification: Coursera Project Network
    • Securing and Integrating Components of your Application 日本語版: Google Cloud
    • Coding with Generative AI: Fractal Analytics
    • Pandas for Data Science: Duke University
    • Limpieza de datos para el procesamiento de lenguaje natural: Universidad Austral
    • Advanced Smart Contract Development: EDUCBA
    • Getting Started with Application Development 日本語版: Google Cloud
    • Robotic Path Planning and Task Execution: University of Colorado Boulder
    • Data Storytelling: DeepLearning.AI
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network

    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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