Hands On Training

Create and Share Analytics with Jupyter Notebooks

Pluralsight

Course Features

Duration

131 minutes

Delivery Method

Online

Available on

Downloadable Courses

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

131 minutes

Course Description

Python's popularity has soared in recent years, largely due to its simplicity and effectiveness in data analysis. Jupyter notebooks have played a crucial role in driving this popularity, providing a user-friendly and interactive environment for executing Python programs. In the course "Create and share analytics with Jupyter notebooks," learners will comprehensively understand Jupyter notebooks and their key features.

The course begins by introducing learners to the basics of Jupyter Notebooks, including how to make code more readable using markdown. Learners will then delve into advanced features such as magic functions, which enhance the functionality of Jupyter notebooks. Additionally, they will explore JupyterLab, the next-generation notebook that offers a complete development environment.

One of the highlights of this course is learning how to utilize cloud-hosted Jupyter Notebooks on major cloud platforms. This capability unlocks the full potential of Jupyter Notebooks, allowing for distributed and collaborative use cases.

Upon completing this course, learners will have a comprehensive skill set in working with Jupyter notebooks, JupyterLab, and cloud-hosted options. They will be able to leverage these tools for advanced data analytics and collaborative projects.

In conclusion, "Create and share analytics with Jupyter notebooks" is an essential course for anyone looking to maximize their productivity and proficiency in Python's data science ecosystem. By mastering the features and capabilities of Jupyter notebooks, learners will gain a competitive edge in data analytics.

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will learn how Jupyter notebooks are a key driver of Python’s popularity, by providing an incredibly intuitive, interactive environment for executing Python programs

First, you will learn how to get up and running with Jupyter notebooks, and how best to leverage features such as markdown to enhance the readability of your code

Next, you will discover how more advanced features such as magic functions work, and how the next generation offering from Jupyter, named JupyterLab goes even further towards a fully-fledged development environment

Finally, you will round out your knowledge by working with cloud-hosted Jupyter notebooks on each of the major cloud platforms

When you’re finished with this course, you will have the skills and knowledge to leverage the full power of Jupyter notebooks and Jupyterlab, particularly in the context of cloud-hosted notebooks for distributed and collaborative use-cases

Course Content

Expand all sections

Module 1: Getting Started with Jupyter Notebooks

Module 2: Understanding Jupyter Notebooks

Module 3: Creating Shareable Analyses in Jupyter Notebooks

Module 4: Working with Cloud-hosted Jupyter Notebooks

Course Instructors

Janani Ravi

Instructor

Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework...