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Jupyter Courses

Jupyter courses can help you learn data visualization, interactive computing, and how to create reproducible research. You can build skills in Python programming, data analysis with libraries like Pandas and NumPy, and using Markdown for documentation. Many courses introduce tools such as Jupyter Notebook and JupyterLab, which allow you to combine code, text, and visualizations seamlessly, making it easier to present your findings and collaborate on projects.

Popular Jupyter Courses and Certifications


  • D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Command-Line Interface, Google Cloud Platform, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Python GUI Calculators with Tkinter: Build & Implement

    Skills you'll gain: Integrated Development Environments, UI Components, User Interface (UI), Jupyter, Development Environment, Application Development, Program Development, Python Programming, Event-Driven Programming, Test Case, Mathematical Software, Interactive Design, Computational Logic

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export

    Beginner · Course · 1 - 3 Months

  • L

    Logical Operations

    Python Data Science: NumPy

    Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Data Management, Virtual Machines, Virtualization and Virtual Machines, Computer Programming, Computer Programming Tools, Software Development

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Building Systems with the ChatGPT API

    Skills you'll gain: ChatGPT, OpenAI API, LLM Application, Large Language Modeling, Prompt Engineering, Prompt Patterns, AI Workflows, OpenAI, Generative AI Agents, Self Service Technologies, Jupyter

    4.7
    Rating, 4.7 out of 5 stars
    ·
    340 reviews

    Beginner · Project · Less Than 2 Hours

  • U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Jupyter, Logistic Regression, Exploratory Data Analysis, Correlation Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    717 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    219 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, AI Personalization, Model Training, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    279 reviews

    Intermediate · Project · Less Than 2 Hours

  • U

    Universidad Austral

    NLP Modelos y Algoritmos

    Skills you'll gain: Natural Language Processing, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning Methods, Tensorflow, Applied Machine Learning, Deep Learning, Model Training, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Algorithms, Network Architecture

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Python GUI Calculators with Tkinter: Build & Implement: EDUCBA
  • Apply Data Analytics Using Python and Pandas: EDUCBA
  • Python Data Science: NumPy: Logical Operations
  • Building Systems with the ChatGPT API: DeepLearning.AI
  • Fitting Statistical Models to Data with Python: University of Michigan
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Data Science Challenge: Coursera
  • PySpark Foundations: Process, analyze, and summarize data: Coursera

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Object-oriented Programming (13)
Kubernetes (10)
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