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Jupyter Notebook - Big Data Visualization Tool

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

Description

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 

  • 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

Goals

  • You will be able to learn Data Ingestion in Jupyter environment an essential requirement for Data Science and Big Data Engineering.
  • How to Use Jupyter to Processs Data in Python, Scala, Julia, R and Swift
  • You will be able to learn about Data Discovery
  • Data Analytics in Jupyter
  • Data Visualization
  • JupyterLab
  • Jupyter Notebook
  • How to use JupyterLab
  • How to use Jupyter Notebook

Prerequisites

  • Basic knowledge of Data Analytics is appreciated but if you don't have any knowledge on Data Analytics its fine.
  • Latest Google Chrome Browser
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Curriculum

  • Introduction
    03:20
    Preview
  • Installation Steps for Jupyter Lab on Linux machines
  • Installation Steps for Jupyter Notebook on Linux Machines
  • Introduction to Project Jupyter
    02:48
  • Jupyter Architecture
    02:43
  • WHAT IS JUPYTER NOTEBOOK?
    03:41
  • Few Example of Jupyter Notebook
    03:27
  • WHAT IS JUPYTERLAB?
    03:23
  • Free Account creation in IBM Skills Network Labs
    01:51
  • Launch Jupyter Lab in IBM Skills Network Labs
    02:01
  • Loading Data into IBM Skills Developer Lab
    01:52
  • Creating a Jupyter Notebook
    06:42
    Preview
  • Renaming a Notebook
    02:14
  • Saving a Notebook
    02:03
  • Example of Python, Scala, R, Julia and Swift Code
    04:36
    Preview
  • User interface components of Notebook
    02:38
  • Kernels
    02:00
  • Large Output
    01:00
  • Example of Mathematics Equation in MarkDown Language
    01:13
  • Alternate Free Access to JupyterLab
    02:09
  • Supported browsers
    01:32
  • Output Formats
    01:49
  • Exporting Notebooks
    02:02
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Jupyter Notebook - Big Data Visualization Tool
This Course Includes
  • 55 mins
  • 27 Lectures
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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