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    • Jupyter

    Jupyter Courses Online

    Learn Jupyter for interactive data analysis and visualization. Understand how to use Jupyter Notebooks for scientific computing and data exploration.

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    Build job-relevant skills in under 2 hours with hands-on tutorials.
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    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the Jupyter Course Catalog

    • D

      Duke University

      Data Science with NumPy, Sets, and Dictionaries

      Skills you'll gain: Data Analysis, Python Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      ChatGPT Prompt Engineering for Developers

      Skills you'll gain: ChatGPT, OpenAI, Generative AI, Application Programming Interface (API), Natural Language Processing, Jupyter

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      How Google does Machine Learning

      Skills you'll gain: Google Cloud Platform, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Applied Machine Learning, Development Environment, Data Ethics, Artificial Intelligence, Computer Vision, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Jupyter, Engineering Analysis, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Computational Thinking, Python Programming, Calculus, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      378 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Python: Istruzioni per l’uso

      Skills you'll gain: Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Pandas for Data Science

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

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      G

      Google Cloud

      Process Documents with Python Using the Document AI API

      Skills you'll gain: Cloud API, Python Programming

      Beginner · Project · Less Than 2 Hours

    • Placeholder
      G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Data Processing, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      737 reviews

      Advanced · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      C

      Coursera Project Network

      GenAI for Data Analysis : OpenAI Assistant API

      Skills you'll gain: Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

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      G

      Google Cloud

      Form Parsing Using Document AI

      Skills you'll gain: Cloud Platforms, Data Management

      Beginner · Project · Less Than 2 Hours

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      I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Structures, Data Import/Export, Exploratory Data Analysis, Computer Programming, Integrated Development Environments, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      543 reviews

      Beginner · Course · 1 - 3 Months

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      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Descriptive Statistics, Probability Distribution, Data Analysis, Analytics, Statistical Analysis, Probability, Statistical Methods, Data Science, A/B Testing, Statistics, Statistical Inference, Bayesian Statistics, Statistical Programming, Jupyter

      4.8
      Rating, 4.8 out of 5 stars
      ·
      715 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to jupyter

    data science and analysis tools - from jupyter to r markdown
    1…101112…18

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

    • Data Science with NumPy, Sets, and Dictionaries: Duke University
    • ChatGPT Prompt Engineering for Developers: DeepLearning.AI
    • How Google does Machine Learning: Google Cloud
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Python: Istruzioni per l’uso: Università di Napoli Federico II
    • Pandas for Data Science: Duke University
    • Process Documents with Python Using the Document AI API: Google Cloud
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • GenAI for Data Analysis : OpenAI Assistant API : Coursera Project Network
    • Form Parsing Using Document AI: Google Cloud

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Jupyter

    Jupyter is a web application used to create and share documents. These documents include codes, images, and text. The open-source platform allows you to create different notebooks for your codes with your explanations, data, and results. With Jupyter, you are able to share your notebooks as an attachment to collaborate with others and improve your results.‎

    It's important to learn about Jupyter to facilitate your data sharing and improve your results. Being able to share your explanations, data, code, and images with others all in one easy to use attachment will save you time and keep your data up to date with the modifications made by others. It's also important to learn to use Jupyter to create tutorials for educational purposes. This allows you to present your findings in a way for everyone to understand and lets others try out your code and simulate modifications to learn and improve from one another.‎

    Online courses will help you learn about Jupyter by offering the flexibility you need to learn on your own time all while having experts available to answer questions and who will guide you through each module in the course. You'll broaden your knowledge of data science topics such as Python, SQL, and deep learning. These courses will give you detailed lectures, Guided Projects, and assignments that will test your knowledge to measure your understanding of the material. Discover the foundations of applied data science, computer programming, and machine learning, or uncover advanced studies such as understanding deepfakes with Keras. You will be able to follow along video tutorials to learn to use the platform and create projects that simulate true tests.‎

    To learn about Jupyter, you should have prior knowledge in coding and data analysis. Having this prior knowledge will allow you to understand how to create the notebooks and analyze the results. It will also help you create simulations and be able to learn from other's shared data. Before starting to learn about Jupyter you should also have knowledge in coding programs and languages to understand the language and be able to translate the results to test modifications or run other simulations.‎

    Online Jupyter courses offer a convenient and flexible way to enhance your knowledge or learn new Jupyter skills. Choose from a wide range of Jupyter courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Jupyter, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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