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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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    Explore the Jupyter Course Catalog

    • Status: Free
      Free
      U

      University of Leeds

      Programming for Data Science

      4.2
      Rating, 4.2 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, NumPy, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Jupyter, Data Processing, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Machine Learning with Python

      Skills you'll gain: Statistical Methods, Jupyter, Regression Analysis, Statistical Analysis, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning Algorithms, Machine Learning, Supervised Learning, Predictive Modeling, Unsupervised Learning, NumPy, Classification And Regression Tree (CART)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Clean and analyze social media usage data with Python

      Skills you'll gain: Data Analysis, Data Visualization, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      31 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Science, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      COVID19 Data Analysis Using Python

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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      Status: [object Object]
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, Kubernetes, React Redux, Cloud Services, OpenShift, Git (Version Control System), Cloud Applications, Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      C

      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
      ·
      25 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to jupyter

    data science and analysis tools - from jupyter to r markdown
    1234…18

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

    • Programming for Data Science: University of Leeds
    • Data Visualization with Python: IBM
    • Python Project for Data Science: IBM
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Machine Learning with Python: IBM
    • Clean and analyze social media usage data with Python: Coursera Project Network
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Applying Python for Data Analysis: Coursera Instructor Network
    • COVID19 Data Analysis Using Python: Coursera Project Network
    • Data Analysis Using Pyspark: Coursera Project Network

    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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