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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

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      110K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Bayesian Statistics, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Interactive Data Visualization, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Processing, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Python for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting Languages, Scripting, Package and Software Management, Computer Programming, Data Manipulation, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      800 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Python Data Products for Predictive Analytics

      Skills you'll gain: Machine Learning, Data Analysis, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Exploratory Data Analysis, Python Programming, Statistical Programming, Programming Principles, Algorithms, General Statistics, Other Web Frameworks, Statistical Machine Learning, Data Visualization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      242 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      C

      Coursera Project Network

      Python for Data Visualization:Matplotlib & Seaborn(Enhanced)

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      59 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      C

      Codio

      Select Topics in Python: Matplotlib

      Skills you'll gain: Matplotlib, Data Visualization Software, Statistical Visualization, Data Visualization, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Graphing

      3.4
      Rating, 3.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Expressway to Data Science: Python Programming

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Programming Principles, Scatter Plots, Computer Science, Computer Programming, Histogram, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      257 reviews

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      U

      Universidad Nacional Autónoma de México

      Python: de cero a usuario

      Skills you'll gain: Package and Software Management, Jupyter, Software Installation, Python Programming, Computational Thinking, Mac OS, Microsoft Windows, Cross Platform Development, Computer Programming, Software Documentation, Development Environment

      4.1
      Rating, 4.1 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      Universidad Austral

      Limpieza de datos para el procesamiento de lenguaje natural

      Skills you'll gain: Leadership and Management, Strategy, Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to jupyter

    data science and analysis tools - from jupyter to r markdown
    1…789…18

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

    • Data Science Foundations: IBM
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Python for Genomic Data Science: Johns Hopkins University
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Python Data Products for Predictive Analytics: University of California San Diego
    • Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera Project Network
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Select Topics in Python: Matplotlib: Codio
    • Expressway to Data Science: Python Programming: University of Colorado Boulder

    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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