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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the Jupyter Course Catalog

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, SQL, Data Pipelines, Jupyter, Predictive Modeling, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Machine Learning in Retail

      Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Pandas (Python Package), Jupyter, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      G

      Google Cloud

      Protecting Sensitive Data in Gen AI Model Responses

      Skills you'll gain: Data Loss Prevention, Generative AI, Personally Identifiable Information, Cloud API, Jupyter, Google Cloud Platform, Data Security, Scripting Languages

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Compare Models with Experiments in Azure ML Studio

      Skills you'll gain: Jupyter, Plot (Graphics), Microsoft Azure, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Visualization, Machine Learning, Regression Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners

      Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Manipulation, Data Access, Data Processing, Computational Logic, Scripting, Data Management, Debugging, Computational Thinking, Jupyter, Maintainability, Scripting Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad Nacional Autónoma de México

      Python: de explorador de datos a analista

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Data Science, Python Programming, Jupyter, Matplotlib, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Controlled Generation with the Gemini API

      Skills you'll gain: Prompt Engineering, Generative AI, Game Design, Google Cloud Platform, Cloud API, Data Validation

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      I

      Imperial College London

      TensorFlow 2 시작하기

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Machine Learning Methods, Artificial Neural Networks, Computer Vision, Jupyter

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Reproducibility in Cancer Informatics

      Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Data Analysis, Programming Principles, Jupyter, Rmarkdown, Git (Version Control System), Integrated Development Environments

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Washington

      머신 러닝 기초: 사례 연구 접근 방식

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Image Analysis, Unsupervised Learning, Text Mining, Natural Language Processing, Data Mining

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Deep Learning Models in Python

      Skills you'll gain: Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Text Mining, Applied Machine Learning, Python Programming, Network Architecture

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Data Visualization Software, Data Manipulation, Python Programming, Scatter Plots, Data Science, Machine Learning, Probability & Statistics, Numerical Analysis, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Regression Analysis

      Beginner · Course · 1 - 3 Months

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

    • Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro: Google Cloud
    • Machine Learning in Retail: Coursera Project Network
    • Protecting Sensitive Data in Gen AI Model Responses: Google Cloud
    • Compare Models with Experiments in Azure ML Studio: Coursera Project Network
    • BiteSize Python for Absolute Beginners: University of Colorado Boulder
    • Python: de explorador de datos a analista: Universidad Nacional Autónoma de México
    • Introduction to Controlled Generation with the Gemini API: Google Cloud
    • TensorFlow 2 시작하기: Imperial College London
    • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
    • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington

    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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