Jupyter Notebooks Courses and Certifications

Python Data Science & Machine Learning Program NYC (High School & College)

Master Python programming, data science, and machine learning fundamentals through hands-on projects. From basic syntax to advanced regression analysis, build practical skills in data visualization and predictive modeling.

• Noble Desktop
• 45 hours
• On-Demand
• $2,195.00

Python Data Science & Machine Learning (High School & College)

Master Python data science fundamentals through hands-on projects, from basic programming concepts to advanced machine learning techniques like regression analysis, classification, and K-nearest neighbors.

• Noble Desktop
• 45 hours
• 29th Jun, 2026
• $1,699.00

Python Data Visualization & Interactive Dashboards Online (Self-Paced)

Explore Python data visualization techniques and learn to create interactive dashboards in this self-paced online program.

• Noble Desktop
• On-Demand
• $1,695.00

Data Analysis With Python

2 ratings at Corporate Finance Institute

Build a complete data analysis workflow in Python by loading, cleaning, analyzing, and visualizing real-world data using NumPy, Pandas, Matplotlib, and Seaborn

• Corporate Finance Institute
• 2 hours 53 minutes
• On-Demand
• Paid Course

Introduction to Python Programming

1250 ratings at Coursera

Comprehensive introduction to Python programming, covering core concepts, data structures, and file operations with hands-on exercises and practical applications.

• Coursera
• 1 day 3 hours 35 minutes
• On-Demand
• Paid Course

Python Fundamentals for Beginners

41167 ratings at Great Learning

Discover Python programming essentials from variables to OOP, testing with Pytest, and GitHub Copilot integration for effective code development.

• Great Learning
• 2 hours 30 minutes
• On-Demand
• Free Online Course

1littlecoder

Automate and Deploy Jupyter Notebooks with GitHub Actions - MLOps

Learn to automate and deploy Jupyter notebooks using GitHub Actions, enhancing your MLOps workflow and streamlining the process of productionizing data science projects.

• YouTube
• 36 minutes
• On-Demand
• Free Video

EuroPython Conference

Creating Great User Interfaces on Jupyter Notebooks with Ipywidgets

Learn to create user-friendly interfaces in Jupyter Notebooks using ipywidgets, enabling data scientists to build interactive tools without extensive front-end skills or deployment concerns.

• YouTube
• 18 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Visual Debugger for Jupyter Notebooks - Myth or Reality?

Explore the challenges and possibilities of implementing a visual debugger for Jupyter Notebooks, including architecture insights and current limitations in existing tools.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Jupyter Notebooks for Teaching and Learning

Explore Jupyter notebooks' potential in education, from self-learning to taught courses. Discover strengths, limitations, and tools enhancing their effectiveness for diverse learning scenarios.

• YouTube
• 35 minutes
• On-Demand
• Conference Talk

Data Council

Publishing Jupyter Notebooks with Quarto

Learn to publish Jupyter notebooks as high-quality websites, books, and more using Quarto. Explore integration with content management systems and discover Quarto's extensibility for custom workflows.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Visual Studio Code

Playing with Data in Jupyter Notebooks with VS Code

Explore data science workflows using Jupyter Notebooks in VS Code. Learn tips and tricks for efficient coding, and discover how to make your notebooks faster and more visually appealing.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Visual Studio Code

Jupyter Notebooks in VS Code

Explore Jupyter Notebooks in VS Code: features, demos, and integrations for data scientists. Learn about Codespaces, Data Wrangler, and Dev Containers to enhance your workflow.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Java

Jump-Start Your Data Science Learning with Java and Jupyter Notebooks

Discover how to leverage Java in Jupyter Notebooks for data science, machine learning, and AI development with practical examples and cutting-edge techniques.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Inferential Statistical Analysis with Python

935 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• On-Demand
• Paid Course