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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

    • G

      Google Cloud

      Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Big Data, Apache Spark, Apache Hadoop, Jupyter, PySpark, Cloud Storage, Cloud Computing, Cloud Services, Apache Hive, Data Processing, Unstructured Data, Natural Language Processing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Conducting Exploratory Data Analysis

      Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Analysis, Data Analysis, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Recommender Systems with Machine Learning

      Skills you'll gain: Data Manipulation, Applied Machine Learning, Data Processing, Supervised Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Analysis, Python Programming, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • E

      EDUCBA

      Decentralized Application (DApp) Development

      Skills you'll gain: Blockchain, Front-End Web Development, Application Development, Web Development, Transaction Processing, User Interface (UI), Development Testing, Cryptography, HTML and CSS, Software Architecture, API Design, User Experience, Javascript, Application Deployment, Secure Coding, Data Management

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • W

      Whizlabs

      Deploying Microservices to Kubernetes using Azure DevOps

      Skills you'll gain: Azure DevOps, Test Planning, Node.JS, Kubernetes, Software Quality Assurance, Microsoft Azure, Cloud-Native Computing, DevOps, CI/CD, Microservices, Containerization, Version Control, Application Deployment, Debugging, Git (Version Control System), Agile Methodology, YAML

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Harnessing Open Source LLMs and ChatGPT with Minimal Code

      Skills you'll gain: ChatGPT, OpenAI, Application Deployment, Application Programming Interface (API), Generative AI, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Natural Language Processing, Open Source Technology, Development Environment, Real Time Data, User Interface (UI)

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Machine Learning Essentials

      Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Machine Learning with Tensorflow on Google Cloud em Português Brasileiro

      Skills you'll gain: Tensorflow, Applied Machine Learning, Feature Engineering, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Scalability, Machine Learning, Serverless Computing, Data Processing, Cloud Computing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Modeling and Predicting Climate Anomalies

      Skills you'll gain: Matplotlib, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Pandas (Python Package), Statistical Analysis, Machine Learning, Regression Analysis, Environmental Policy, Data Science, Data Analysis, Python Programming, Environment, Political Sciences, Environmental Issue, International Relations, Policy Analysis

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      AWS AutoGluon for Machine Learning Classification

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Git for developers: managing workflows and conflicts

      Skills you'll gain: Git (Version Control System), Version Control, Continuous Integration, Code Review, Technical Communication

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Elevate Team Productivity with Crew AI

      Skills you'll gain: Workflow Management, Team Management, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Process Design, Artificial Intelligence, Automation, Solution Design, Decision Making, Generative AI, Process Improvement, Content Creation, Business Process Management, Customer Service, Natural Language Processing

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    Python learners also search

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

    • Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro: Google Cloud
    • Conducting Exploratory Data Analysis: Coursera Project Network
    • Recommender Systems with Machine Learning: Packt
    • Decentralized Application (DApp) Development: EDUCBA
    • Deploying Microservices to Kubernetes using Azure DevOps: Whizlabs
    • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
    • Machine Learning Essentials: University of Pennsylvania
    • Serverless Machine Learning with Tensorflow on Google Cloud em Português Brasileiro: Google Cloud
    • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
    • AWS AutoGluon for Machine Learning Classification: 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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