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    • Jupyter

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    228 results for "jupyter"

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      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming, Probability & Statistics, Basic Descriptive Statistics, Data Science, Data Visualization Software, Experiment, General Statistics, R Programming, Regression

      3.4

      (27 reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Interactive Geospatial Visualization:Kepler GL & Jupyter Lab

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

      Intermediate · Guided Project · Less Than 2 Hours

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      Codio

      Visualizing & Communicating Results in Python with Jupyter

      Skills you'll gain: Data Science, Data Visualization Software, Python Programming

      Beginner · Course · 1-3 Months

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      Imperial College London

      Master of Science in Machine Learning and Data Science

      Earn a degree

      Degree · 1-4 Years

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      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Strategy and Operations, Computer Architecture, Mathematics, Leadership and Management, Data Analysis, Databases, Communication, Hardware Design, Operating Systems, Statistical Programming, Computer Programming, Business Analysis, Machine Learning, Research and Design, Finance, Project Management, Regression, SQL, Writing, Data Structures, Statistical Analysis, Business Communication, Experiment, Entrepreneurship, Probability Distribution, Software Engineering, Database Design, Statistical Tests, Computer Networking, Accounting, Computer Graphics, Design and Product, Systems Design, Data Visualization, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Operations Research, Statistical Machine Learning, Human Computer Interaction, Estimation, Internet Of Things, PostgreSQL, Problem Solving, Network Architecture, Graph Theory, Applied Mathematics, Computer Vision, Deep Learning, Financial Analysis, Programming Principles, Geometry, User Experience, Econometrics, Marketing, Mathematical Theory & Analysis, Python Programming, Supply Chain and Logistics, Computer Graphic Techniques, Algebra, Cryptography, Business Psychology, Interactive Design, Budget Management, Correlation And Dependence, Distributed Computing Architecture, Linear Algebra, Linux, Critical Thinking, Security Engineering, Data Mining, Cost Accounting, Differential Equations, User Experience Design, Data Warehousing, Network Model, Cloud Computing, Cyberattacks, Computer Programming Tools, Computational Logic, Applied Machine Learning, Calculus, Computational Thinking, Feature Engineering, Graphic Design, Investment Management, Other Programming Languages, Sales, Scrum (Software Development), Software Architecture, Software Testing, System Programming, Visual Design, Human Resources, Matlab, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Basic Descriptive Statistics, C Programming Language Family, Data Analysis Software, Exploratory Data Analysis, FinTech, Material Handling, Organizational Development, Product Lifecycle, Risk Management, Strategy, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Microarchitecture, Security Strategy, Application Development, Computer Security Models, Leadership Development, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Market Research, Plot (Graphics), R Programming, Account Management, Banking, BlockChain, Business Process Management, Contract Management, Data Architecture, Financial Accounting, Financial Management, Generally Accepted Accounting Principles (GAAP), Geovisualization, Inventory Management, Management Accounting, Markov Model, Natural Language Processing, Operations Management, Planning, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Benefits, Collaboration, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Negotiation, Network Analysis, Network Security, Resilience, System Software

      Earn a degree

      Degree · 1-4 Years

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      IBM Skills Network

      IBM Data Analyst

      Skills you'll gain: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Application, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Database Administration, Econometrics, Interactive Data Visualization, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (62.3k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Introduction to Data Science

      Skills you'll gain: Data Science, Data Structures, SQL, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Statistical Programming, Databases, Python Programming, Database Theory, Data Visualization Software, R Programming, Data Management, Data Mining, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Application, Big Data, Computer Programming, Database Administration, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing

      4.6

      (78.4k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Artificial Neural Networks, Computer Programming, Deep Learning, Econometrics, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming

      4.4

      (208 reviews)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      Tools for Data Science

      Skills you'll gain: Computer Programming Tools, Data Analysis Software, Data Structures, Machine Learning Software, Software Visualization, Python Programming, Statistical Programming, Data Visualization Software, R Programming, Data Science, Devops Tools, Machine Learning Algorithms, SPSS, Computer Programming, Machine Learning

      4.5

      (26k reviews)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      Python for Data Science, AI & Development

      Skills you'll gain: Data Analysis, Python Programming, Data Structures, Programming Principles, Algebra, Basic Descriptive Statistics, Exploratory Data Analysis, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Statistical Programming, Theoretical Computer Science

      4.6

      (31k reviews)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Analista de Datos de IBM

      Skills you'll gain: Statistical Programming, Data Analysis, Computer Programming, Python Programming, Data Visualization, Business Analysis, Data Analysis Software, Microsoft Excel, Spreadsheet Software, Data Management, Databases, SQL, Extract, Transform, Load, Mathematics, Probability & Statistics, General Statistics, Big Data, Data Mining, Data Visualization Software, NoSQL, Econometrics, Machine Learning, Regression, Accounting, Entrepreneurship, Sales

      4.6

      (811 reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Algorithms, Calculus, Mathematics, Theoretical Computer Science, Machine Learning, Mathematical Theory & Analysis, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Differential Equations, Probability & Statistics, Regression, Statistical Machine Learning, Algebra, Econometrics, General Statistics, Python Programming

      4.8

      (59 reviews)

      Beginner · Course · 1-4 Weeks

    Searches related to jupyter

    interactive geospatial visualization:kepler gl & jupyter lab
    data science and analysis tools - from jupyter to r markdown
    visualizing & communicating results in python with jupyter
    1234…19

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

    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • Interactive Geospatial Visualization:Kepler GL & Jupyter Lab: Coursera Project Network
    • Visualizing & Communicating Results in Python with Jupyter: Codio
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Science in Data Science: University of Colorado Boulder
    • IBM Data Analyst: IBM Skills Network
    • Introduction to Data Science: IBM Skills Network
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Tools for Data Science: IBM Skills Network
    • Python for Data Science, AI & Development: IBM Skills 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.‎

    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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