Jupyter is a web application used to create and share documents. These documents include codes, images, and text. The open-source platform allows you to create different notebooks for your codes with your explanations, data, and results. With Jupyter, you are able to share your notebooks as an attachment to collaborate with others and improve your results.

Why is it important to learn about Jupyter?

It's important to learn about Jupyter to facilitate your data sharing and improve your results. Being able to share your explanations, data, code, and images with others all in one easy to use attachment will save you time and keep your data up to date with the modifications made by others. It's also important to learn to use Jupyter to create tutorials for educational purposes. This allows you to present your findings in a way for everyone to understand and lets others try out your code and simulate modifications to learn and improve from one another.

How can online courses help me learn about Jupyter?

Online courses will help you learn about Jupyter by offering the flexibility you need to learn on your own time all while having experts available to answer questions and who will guide you through each module in the course. You'll broaden your knowledge of data science topics such as Python, SQL, and deep learning. These courses will give you detailed lectures, Guided Projects, and assignments that will test your knowledge to measure your understanding of the material. Discover the foundations of applied data science, computer programming, and machine learning, or uncover advanced studies such as understanding deepfakes with Keras. You will be able to follow along video tutorials to learn to use the platform and create projects that simulate true tests.

What skills or experience do I need to already have, before starting to learn about Jupyter?

To learn about Jupyter, you should have prior knowledge in coding and data analysis. Having this prior knowledge will allow you to understand how to create the notebooks and analyze the results. It will also help you create simulations and be able to learn from other's shared data. Before starting to learn about Jupyter you should also have knowledge in coding programs and languages to understand the language and be able to translate the results to test modifications or run other simulations.

What are the benefits of taking an online Jupyter course?

Online Jupyter courses offer a convenient and flexible way to enhance your knowledge or learn new Jupyter skills. Choose from a wide range of Jupyter courses offered by top universities and industry leaders tailored to various skill levels.

What Jupyter courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Jupyter, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Jupyter Courses - Learn Jupyter Online

Explore the Jupyter Course Catalog

Status: Free Trial
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
29K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
The Power of Statistics
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication
4.8
Rating, 4.8 out of 5 stars
790 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
IBM
Building Generative AI-Powered Applications with Python
Skills you'll gain: Large Language Modeling, Generative AI, OpenAI, Web Applications, Prompt Engineering, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Web Development, Natural Language Processing, Application Development, HTML and CSS, Python Programming, Flask (Web Framework)
4.7
Rating, 4.7 out of 5 stars
174 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Meta
Python Data Analytics
Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting
4.3
Rating, 4.3 out of 5 stars
199 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
IBM
IBM Relational Database Administrator
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, Data Store, IBM DB2, Jupyter, Generative AI
4.6
Rating, 4.6 out of 5 stars
58K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
IBM
Build RAG Applications: Get Started
Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter
4.8
Rating, 4.8 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
567 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, Software Development Tools, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
99K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Applied Software Engineering Fundamentals
Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Unit Testing, Version Control, File Management, Jupyter, Scrum (Software Development), Application Development, Application Deployment, Python Programming, Data Structures, Collaborative Software, Web Scraping
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Universidad de los Andes
Ciencia de datos
Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning
4.7
Rating, 4.7 out of 5 stars
511 reviews
Beginner · Specialization · 1 - 3 Months
Status: New
Coursera Instructor Network
Data and Machine Learning for Technical Product Managers
Skills you'll gain: Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, R Programming
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
AI for Good
Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Information Privacy, Deep Learning, Data Processing, Forecasting
4.7
Rating, 4.7 out of 5 stars
467 reviews
Beginner · Specialization · 1 - 3 Months