Online Course
Introduction to Jupyter

The perfect Jupyter notebook tutorial to launch Python on your machine

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  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

2 hours
  • Lessons (1 hour)
  • Practice exams (40 minutes)

CPE credits:

1.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

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.

Topics & tools

programmingjupyterpython

Your instructor

Course OVERVIEW

Description

CPE Credits: 1.5 Field of Study: Information Technology
Delivery Method: QAS Self Study
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.

Prerequisites

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

Advanced preparation

  • None

Curriculum

9 lessons 6 exercises 3 exams

Free preview

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

Start for free

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ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

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How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

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