EdX

Guided Project: Create Engaging Reports using Jupyter Book (edX)

Offered by IBM,
Guided Project: Create Engaging Reports using Jupyter Book (edX)

Sharing information from native Jupyter files is not an easy task. In under an hour, learn how to create computational, visually engaging, and interactive reports using Jupyter Book easily.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Jupyter Notebook is a popular, streamlined application for analyzing data and creating data science projects. However, developers often experience difficulty when attempting to share the files created on Jupyter Notebook.
Jupyter Book is a powerful tool you can use to build widely shareable, interactive HTML documentation, including interactive visualizations in books using data from your Jupyter Notebook projects.
You will learn how to build, customize, and share your first Jupyter Book in under an hour. You will also learn how to display LaTex block style math, display Plotly plots, and exclude certain files from the final build. Completing this project will provide you with practical experience and provide you with fundamental Jupyter Book skills.
Ready to start? We have a workspace waiting for you. Get started fast using a pre-configured cloud-based IDE lab environment. You’ll find all the required software needed to get started, such as Jupyter Book, preinstalled. All you need is a recent version of a modern web browser.

What you'll learn
After completing this project, you'll be able to:

  • List use cases for Jupyter Book.
  • Explain Jupyter Book setup.
  • Build your own Jupyter Book.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Computer Graphics (edX) EdX
University of California, San Diego,UC San DiegoX

Computer Graphics (edX)

Learn to create images of 3D scenes in both real-time and with realistic raytracing in this introductory computer graphics course. Today, computer graphics is a central part of our lives, in movies, games, computer-aided design, virtual simulators, visualization and even imaging products and cameras.

Self Paced
Self-Paced
Tools for Data Science (Coursera) Coursera
IBM

Tools for Data Science (Coursera)

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala.

Aug 31st 2026
4 Weeks
Getting Started with Jupyter Notebook (Manning Publications) Manning Publications
Manning Publications

Getting Started with Jupyter Notebook (Manning Publications)

In this liveProject, you’ll get hands-on experience using Jupyter Notebook in a real-world data science project. You’ll train a simple KNN classifier and use Jupyter, IPython, and the easy-to-use Markdown markup language to document and share your work. Your challenges will include customizing your notebooks, incorporating your notebooks into a data science project, and sharing your projects with the community on GitHub.

Self Paced
Self-Paced
Learn to Code for Data Analysis (FutureLearn) FutureLearn
The Open University

Learn to Code for Data Analysis (FutureLearn)

Software and data make the world go round. Learn programming, to analyse and visualise open data, with this free online course. This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly.

No sessions available
4 Weeks
Probability - The Science of Uncertainty and Data (edX) EdX
MIT,MITx

Probability - The Science of Uncertainty and Data (edX)

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Sep 1st 2026
13-24 Weeks
Introduction to Cloud Computing (edX) EdX
IBM

Introduction to Cloud Computing (edX)

Master the core concepts in Cloud Computing, from service and deployment models, to cloud architecture, security, new technologies, and possible careers. This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.

Self Paced
Self-Paced
Big Data Capstone Project (edX) EdX
University of Adelaide,AdelaideX

Big Data Capstone Project (edX)

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project. This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem. This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability.

Self Paced
Self-Paced
Fundamentals of Python (edX) EdX
SDA_Bocconi,SDA Bocconi School of Management

Fundamentals of Python (edX)

We will equip you with everything you need to properly start using Python in your daily work activities. You will learn how to install Python and work with it through different graphical front-ends. You will then learn how to define objects and how to recognize different characteristics and functionalities. Finally, you will learn how to make Python execute a series of instructions in a sequential order through loops, as well as how to write your own functions.

Self Paced
Self-Paced