Introduction to Jupyter
free

with Martin Ganchev
4.8/5
(4,124)

The perfect Jupyter notebook tutorial to launch Python on your machine

2 hours of content 43123 students
Start for Free

What you get:

  • 2 hours of content
  • 6 Interactive exercises
  • 2 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Introduction to Jupyter
free

A course by Martin Ganchev
Start for Free

What you get:

  • 2 hours of content
  • 6 Interactive exercises
  • 2 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement
Start for Free

What you get:

  • 2 hours of content
  • 6 Interactive exercises
  • 2 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Set up the Jupyter environment using Anaconda.
  • Navigate and operate within Jupyter Notebook confidently.
  • Handle error messages and understand how to restart the kernel.
  • Use notebook shortcuts to work faster and more efficiently.
  • Set up the coding environment you’ll need in the workplace.

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

One of the most widely used coding environments for programming in Python, R, or Julia today is Jupyter. It is extremely intuitive and has been built to accommodate the needs of both beginner and advanced users. However, before you feel comfortable with using it, you may want to make sure that you know how to use it properly. This requires only a few steps and this course aims at assisting you to make them.

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Introduction

1.1 Introduction

1 min

A 5-minute explanation of Programming

1.2 A 5-minute explanation of Programming

5 min

Introduction to Jupyter

1.4 Introduction to Jupyter

3 min

Installing Anaconda

1.5 Installing Anaconda

4 min

Intro to Using Jupyter

1.6 Intro to Using Jupyter

5 min

Working with Notebook Files

1.7 Working with Notebook Files

5 min

Curriculum

  • 1. Introduction to Jupyter
    9 Lessons 38 Min
    In this course-section, we will set up the Jupyter environment. We'll introduce you to the concept of using Jupyter, why we've chosen it, as well as provide you with the basics of working with Jupyter so that you can feel at home while operating with it.
    Introduction
    1 min
    A 5-minute explanation of Programming
    5 min
    Introduction to Jupyter
    3 min
    Installing Anaconda
    4 min
    Intro to Using Jupyter
    5 min
    Working with Notebook Files
    5 min
    Using Shortcuts
    7 min
    Handling Error Messages
    6 min
    Restarting the Kernel
    2 min

Topics

ProgrammingJupyterPython

Tools & Technologies

python

Course Requirements

  • Jupyter Notebook or JupyterLab (available through anaconda.com or online platforms like Google Colab)

Who Should Take This Course?

Level of difficulty: Beginner

  • Everyone who wants to install Jupyter notebook and Python on their machine

Exams and Certification

A 365 Financial Analyst Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Martin Ganchev

Martin Ganchev

Worked at

15 Courses

39537 Reviews

585183 Students

Martin Ganchev has been creating high-quality online education content since 2016, helping over one million students worldwide gain valuable business, finance, and data skills. As the second employee at 365 Careers, he played a key role in building some of the company's most successful courses, known for their clarity, practical value, and engaging delivery. With a Master of Science in Economic and Social Sciences from Bocconi University, Martin specializes in statistics, econometrics, Python, SQL, and business intelligence—equipping students to analyze data rigorously, automate workflows, and turn complex results into clear business insights.

What Our Learners Say

15.11.2025
15.11.2025
15.11.2025

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