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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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    Explore the Jupyter Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Python for Genomic Data Science

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Analytical Skills, User Feedback, Decision Tree Learning, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Cape Town

      Julia Scientific Programming

      Skills you'll gain: Box Plots, Jupyter, Statistical Analysis, Data Visualization, Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Data Science, Other Programming Languages, Data Import/Export, Computer Programming, Mathematical Modeling, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      433 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      793 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      797 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

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

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      Skills you'll gain: Machine Learning, Google Cloud Platform, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis

      4
      Rating, 4 out of 5 stars
      ·
      876 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics

      Skills you'll gain: Machine Learning Algorithms, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Analytics, SQL, Supervised Learning, Accounting and Finance Software, Specialized Accounting

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Python for Genomic Data Science: Johns Hopkins University
    • Data Science Methodology: IBM
    • Python Data Analytics: Meta
    • Exploratory Data Analysis for Machine Learning: IBM
    • Julia Scientific Programming: University of Cape Town
    • The Power of Statistics: Google
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Introduction to Trading, Machine Learning & GCP: Google Cloud
    • TensorFlow 2 for Deep Learning: Imperial College London

    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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