Jupyter Notebook for Beginners

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2023-02-10
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Anup Shukla
Next Course
4.6
1,258 Ratings
This course is perfect for absolute beginners who want to learn about Jupyter Notebook, a powerful tool used by machine learning engineers, data scientists, mathematicians, and Python and R developers. Learners will gain an understanding of the advantages of using Jupyter Notebook, such as its ability to support more than 40 programming languages, its similarity to a physical notebook, and its ability to share and distribute notebooks. Additionally, learners will gain the skills necessary to use Jupyter Notebook in their own projects. With this course, you will be able to take advantage of the powerful features of Jupyter Notebook and use it to create amazing projects.
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course is designed to introduce absolute beginners to Jupyter Notebook, a powerful tool used by machine learning engineers, data scientists, mathematicians, and Python and R developers. Participants will gain an understanding of the advantages of using Jupyter Notebook, such as its support for more than 40 programming languages, its similarity to a physical notebook, and its ability to share and distribute notebooks. Additionally, they will acquire the skills necessary to use Jupyter Notebook in their own projects.

Course Syllabus

Introduction

Working with Jupyter Notebook

Show All
Recommended Courses
learning-path-jupyter-interactive-computing-with-jupyter-9853
Learning Path: Jupyter: Interactive Computing with Jupyter
3.3
Udemy 290 learners
Learn More
This Learning Path is designed to help new learners understand the Jupyter Notebook, an open-source web application that supports more than 40 programming languages. Dan Toomey, a 20+ year veteran of application development, will guide learners through the process of integrating the Jupyter system with different programming languages, such as R, Python, JavaScript, and Julia. Learners will also learn how to use interactive widgets, namespaces, and work with Jupyter in the multiuser mode. By the end of the course, learners will be able to write code, compute mathematical formulae, create graphics, and view the output, all in a single document and web browser. Click this course to learn how to use Jupyter Notebook and access Big Data with ease!
practical-jupyter-notebook-from-beginner-to-expert-9854
Practical Jupyter Notebook from Beginner to Expert
3.5
Udemy 238 learners
Learn More
This course provides a comprehensive introduction to the Jupyter Notebook, from installation and setup to mastering the core concepts and operations. Through practical examples, learners will gain an understanding of the Jupyter Notebook from beginner to expert level. Topics include creating and running .py files, formatting text, creating tables and equations, embedding images, audios, and videos, changing themes, using shortcuts, installing packages, creating basic and interactive plotting, and more. Click now to learn how to use the Jupyter Notebook quickly and easily!
an-introduction-getting-started-with-jupyter-notebook-9855
An Introduction: Getting Started with Jupyter Notebook
3.3
Udemy 3,024 learners
Learn More
This course provides a comprehensive introduction to Jupyter Notebook, a popular open-source web application used by data scientists, analysts, and researchers. Learners will learn how to install and set up Jupyter Notebook, create and execute code cells in Python, and perform data manipulation and analysis using popular Python libraries. They will also learn how to collaborate with others by sharing and exporting notebooks. By the end of the course, learners will have a solid understanding of Jupyter Notebook and be able to use it to perform basic data science tasks. Join this course to get started with Jupyter Notebook and become a data science expert!
data-analysis-crash-course-for-beginners-pandas-python-9856
Data Analysis Crash Course For Beginners (Pandas + Python)
4.8
Udemy 1,825 learners
Learn More
This Data Analysis Crash Course For Beginners (Pandas + Python) is the perfect way to get started with Data Analysis. Learners will gain a comprehensive understanding of the fundamentals of Data Analysis with Python and Pandas library. Through this course, learners will be able to work with Pandas, iPython, Jupyter Notebook, CSV, Excel, TXT, JSON Files and API Responses, and DataFrames (Indexing, Slicing, Adding and Deleting). After completing this course, learners will have a solid foundation in Data Analysis and be ready to explore more in-depth topics in the future.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet
arrow Click Allow to get free Jupyter Notebook for Beginners courses!