21.11.2024
Introduction to Jupyter
with
Martin Ganchev
The perfect Jupyter notebook tutorial to launch Python on your machine
1 hour of content
38910 students
$99.00
14-Day Money-Back Guarantee
What you get:
- 1 hour 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
A course by
Martin Ganchev
$99.00
14-Day Money-Back Guarantee
What you get:
- 1 hour of content
- 6 Interactive exercises
- 2 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
14-Day Money-Back Guarantee
What you get:
- 1 hour 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
- Learn how to set up the Jupyter environment
- Navigate Jupyter notebooks with confidence
- Be able to handle error messages in Jupyter
- Learn how to set up the coding environment you will need in the workplace
- Become a Jupyter power user who takes advantage of shortcuts
- Install the Anaconda package, which allows you to work with powerful data science programming languages such as Python and R
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.
Learn for Free
1.1 Introduction
1.2 A 5-minute explanation of Programming
1.3 Introduction to Jupyter
1.4 Installing Anaconda
1.5 Intro to Using Jupyter
1.6 Working with Notebook Files
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 1. Introduction to Jupyter9 Lessons 33 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.
Introduction1 minA 5-minute explanation of Programming5 minIntroduction to Jupyter3 minInstalling Anaconda4 minIntro to Using Jupyter3 minWorking with Notebook Files6 minUsing Shortcuts3 minHandling Error Messages6 minRestarting the Kernel2 min
Topics
Course Requirements
- No previous Jupyter experience needed
- This Jupyter notebook tutorial will teach you how to set up Jupyter and Python on your machine
- We will teach you how to install the Anaconda package equipping you with essential tools for data science
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 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Martin began working with 365 in 2016 as the company’s second employee. Martin’s resilience, hard-working attitude, attention to detail, and excellent teaching style played an instrumental role in 365’s early days. He authored some of the firm’s most successful courses. And besides teaching, Martin dreams about becoming an actor. In September 2021, he enrolled in an acting school in Paris, France.
What Our Learners Say
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