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Course on Jupyter Notebook - Big Data Visualization Tool

person icon Bigdata Engineer

4.2

Course on Jupyter Notebook - Big Data Visualization Tool

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

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Bigdata Engineer

English [CC]

category icon Development,Big Data,Jupyter

Lectures -28

Duration -55 mins

4.2

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Course 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

What will you learn in this course:

  • 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

What are the prerequisites for this course?

  • Basic knowledge of Data Analytics is appreciated but if you don't have any knowledge on Data Analytics its fine.
  • Latest Google Chrome Browser
Course on Jupyter Notebook - Big Data Visualization Tool

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
23 Lectures
  • play icon Introduction 03:20 03:20
  • play icon Installation Steps for Jupyter Lab on Linux machines
  • play icon Installation Steps for Jupyter Notebook on Linux Machines
  • play icon Introduction to Project Jupyter 02:48 02:48
  • play icon Jupyter Architecture 02:43 02:43
  • play icon WHAT IS JUPYTER NOTEBOOK? 03:41 03:41
  • play icon Few Example of Jupyter Notebook 03:27 03:27
  • play icon WHAT IS JUPYTERLAB? 03:23 03:23
  • play icon Free Account creation in IBM Skills Network Labs 01:51 01:51
  • play icon Launch Jupyter Lab in IBM Skills Network Labs 02:01 02:01
  • play icon Loading Data into IBM Skills Developer Lab 01:52 01:52
  • play icon Creating a Jupyter Notebook 06:42 06:42
  • play icon Renaming a Notebook 02:14 02:14
  • play icon Saving a Notebook 02:03 02:03
  • play icon Example of Python, Scala, R, Julia and Swift Code 04:36 04:36
  • play icon User interface components of Notebook 02:38 02:38
  • play icon Kernels 02:00 02:00
  • play icon Large Output 01:00 01:00
  • play icon Example of Mathematics Equation in MarkDown Language 01:13 01:13
  • play icon Alternate Free Access to JupyterLab 02:09 02:09
  • play icon Supported browsers 01:32 01:32
  • play icon Output Formats 01:49 01:49
  • play icon Exporting Notebooks 02:02 02:02
Frequently Asked Questions
4 Lectures
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Instructor Details

Bigdata Engineer

Bigdata Engineer

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