Jupyter Notebook - Big Data Visualization Tool for Big data Engineers and Data Scientist for an Open Source Tool (Free Source for Data Visualization)

Learn the latest Big Data Technology Tool- Jupyter Notebook! And learn to use it with one of the most popular programming languages, Scala, Python, Julia, R, Ruby, and many more!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Jupyter Notebook! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular: write plugins that add new components and integrate with existing ones.

Master Bigdata Visualization with Jupyter Notebook.

Jupyter Notebook provides a web-based notebook you can use support following languages:

• Python

• Julia

• R

• Ruby

• Haskell

• Scala

• node.js

• Go

  
  

We will Learn:

• Data Ingestion in Jupyter environment

• How to Use Jupyter to process Data in Python, Scala, Julia, R and Swift

• Data Discovery

• Data Analytics in Jupyter

• Data Visualization

• JupyterLab

• Jupyter Notebook

• How to use JupyterLab

• How to use Jupyter Notebook