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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

    • 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, General Networking, Scripting, MySQL, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      233 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Model, Graph Theory, Advanced Mathematics, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Computer Science, Big Data, Programming Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

    • Packt

      LangChain MasterClass: Build 15 LLM Apps with Python

      Skills you'll gain: OpenAI, Application Development, Generative AI, Artificial Intelligence, Python Programming, Natural Language Processing, Application Frameworks, Semantic Web, Query Languages, Application Programming Interface (API)

      3.3
      Rating, 3.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, Applied Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Test Case, OpenAI, Human Computer Interaction, Performance Testing, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Packt

      Python Interactive Dashboards with Plotly Dash

      Skills you'll gain: Plotly, Dashboard, Data Visualization Software, Interactive Data Visualization, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Jupyter, UI Components, Python Programming, Real Time Data, Pandas (Python Package), Data Manipulation

      Intermediate · Course · 1 - 3 Months

    • Coursera Project Network

      Python for Finance: Beta and Capital Asset Pricing Model

      Skills you'll gain: Portfolio Management, Plotly, Interactive Data Visualization, Investment Management, Exploratory Data Analysis, Return On Investment, Financial Modeling, Financial Analysis, Statistical Analysis, Financial Data, Data Visualization Software, Market Data, Finance, Equities, Data Analysis, Securities (Finance), Risk Analysis, Pandas (Python Package), Python Programming, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Coursera Project Network

      Where, Why, and How of Lambda Functions in Python

      Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Google Cloud

      Process Documents with Python Using the Document AI API

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Data Transformation, Real Time Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Codio

      Select Topics in Python: Django

      Skills you'll gain: Version Control, GitHub, Django (Web Framework), Application Deployment, Object-Relational Mapping, Development Environment, Unit Testing, Database Development, Bootstrap (Front-End Framework), Model View Controller, Virtual Environment, Application Frameworks, PostgreSQL, HTML and CSS

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Github Copilot with Python: Creating Text Games

      Skills you'll gain: Object Oriented Design, Unit Testing, Python Programming, GitHub, Development Environment, Debugging, Generative AI, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Bioinformatics, Image Analysis, Medical Science and Research, Big Data, Statistical Methods, Data Science, Data Mining, Statistical Modeling, Health Care, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Text Mining, Unstructured Data, Data Processing, Data Integration, Network Analysis, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      333 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Illinois Urbana-Champaign

      VLSI CAD Part I: Logic

      Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Hardware Design, Data Structures, Verification And Validation, Computer-Aided Design, Computer Architecture, Algorithms, Electrical and Computer Engineering, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Akamai Network Engineering: Akamai Technologies, Inc.
    • Advanced Algorithms and Complexity: University of California San Diego
    • LangChain MasterClass: Build 15 LLM Apps with Python: Packt
    • Microsoft AI & ML Engineering: Microsoft
    • Python Interactive Dashboards with Plotly Dash: Packt
    • Python for Finance: Beta and Capital Asset Pricing Model: Coursera Project Network
    • Where, Why, and How of Lambda Functions in Python : Coursera Project Network
    • Process Documents with Python Using the Document AI API: Google Cloud
    • Select Topics in Python: Django: Codio
    • Github Copilot with Python: Creating Text Games: 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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