Jupyter Notebook – Big Data Visualization Tool

Jupyter Notebook – Big Data Visualization Tool, available at $24.99, has an average rating of 3.38, with 29 lectures, based on 4 reviews, and has 541 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst It is particularly useful for Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst.

Enroll now: Jupyter Notebook – Big Data Visualization Tool

Summary

Title: Jupyter Notebook – Big Data Visualization Tool

Price: $24.99

Average Rating: 3.38

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst

Target Audiences

Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst

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 Sparkto 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.

JupyterLabis 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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installation Steps for Jupyter Lab on Linux machines

Lecture 3: Installation Steps for Jupyter Notebook on Linux Machines

Lecture 4: Introduction to Project Jupyter

Lecture 5: Jupyter Architecture

Lecture 6: WHAT IS JUPYTER NOTEBOOK?

Lecture 7: Few Example of Jupyter Notebook

Lecture 8: WHAT IS JUPYTERLAB?

Lecture 9: Free Account creation in IBM Skills Network Labs

Lecture 10: Tips to Improve Your Course Taking Experience

Lecture 11: Launch Jupyter Lab in IBM Skills Network Labs

Lecture 12: Loading Data into IBM Skills Developer Lab

Lecture 13: Creating a Jupyter Notebook

Lecture 14: Renaming a Notebook

Lecture 15: Saving a Notebook

Lecture 16: Example of Python, Scala, R, Julia and Swift Code

Lecture 17: User interface components of Notebook

Lecture 18: Kernels

Lecture 19: Large Output

Lecture 20: Example of Mathematics Equation in MarkDown Language

Lecture 21: Alternate Free Access to JupyterLab

Lecture 22: Supported browsers

Lecture 23: Output Formats

Lecture 24: Exporting Notebooks

Chapter 2: Frequently Asked Questions

Lecture 1: What is JupyterLab?

Lecture 2: Is JupyterLab ready to use?

Lecture 3: How can you extend or customize JupyterLab?

Lecture 4: Important Lecture

Lecture 5: Bonus Lecture

Instructors

Bigdata Engineer
Bigdata Engineer

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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