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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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    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the Jupyter Course Catalog

    • G

      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      Skills you'll gain: Machine Learning, Google Cloud Platform, Machine Learning Algorithms, 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, Predictive Modeling, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis

      4
      Rating, 4 out of 5 stars
      ·
      861 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Development Environment, Data Structures, Python Programming, NumPy, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      228 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Python Programming, Statistical Programming, Computer Programming, Data Structures, Data Visualization, Databases, Plot (Graphics), Probability & Statistics, SQL, Theoretical Computer Science

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      386 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Spreadsheet Software, Histogram, Google Sheets, Microsoft Excel, Business Intelligence Software, Pandas (Python Package)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Data Analysis, Python Programming, Computer Programming, Data Analysis Software, Data Management, Data Structures, Data Visualization, Exploratory Data Analysis, Programming Principles, Computer Programming Tools, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      410 reviews

      Beginner · Course · 1 - 4 Weeks

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      P

      Packt

      Python for Finance: Investment Fundamentals & Data Analytics

      Skills you'll gain: Financial Analysis

      Intermediate · Course · 3 - 6 Months

    • Placeholder
      C

      Codio

      Data Analysis in Python with pandas & matplotlib in Spyder

      Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Python Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

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      M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Manipulation, Jupyter, Matplotlib, Regression Analysis, Programming Principles, Data Cleansing, Data Import/Export, Data Visualization Software, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      165 reviews

      Beginner · Course · 1 - 3 Months

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      F

      Fractal Analytics

      Python for Data Science

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Data Cleansing, Python Programming, Matplotlib

      4.1
      Rating, 4.1 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

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      P

      Packt

      Selenium Python Automation Testing and Frameworks

      Beginner · Specialization · 3 - 6 Months

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      U

      Universidad Austral

      NLP System Architecture and Dev-Ops

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

      Beginner · Course · 1 - 4 Weeks

    Searches related to jupyter

    data science and analysis tools - from jupyter to r markdown
    1…91011…18

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

    • Introduction to Trading, Machine Learning & GCP: Google Cloud
    • Python and Pandas for Data Engineering: Duke University
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes
    • Data Visualization with Python: Duke University
    • Data Analysis Using Python: University of Pennsylvania
    • Python for Finance: Investment Fundamentals & Data Analytics: Packt
    • Data Analysis in Python with pandas & matplotlib in Spyder: Codio
    • Python Data Analytics: Meta
    • Python for Data Science: Fractal Analytics

    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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