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
Universidad Nacional Autónoma de México
Python: de cero a analista de datos
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), NumPy, Extract, Transform, Load, Time Series Analysis and Forecasting, Plot (Graphics), Data Analysis, Package and Software Management, Data Science, Python Programming, Jupyter, Data Visualization Software, Statistical Analysis, Scatter Plots, Graphing, Data Import/Export, Software Installation, Computational Thinking, Mac OS
4.2
Rating, 4.2 out of 5 stars
41 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM DevOps and Software Engineering
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), Git (Version Control System), Flask (Web Framework), DevOps, Jupyter, Grafana
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
60K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Microsoft
Generative AI for Data Scientists
Skills you'll gain: Generative AI, Microsoft Copilot, Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Presentation, OpenAI, Data Pipelines, Prompt Engineering, Data Cleansing, Data Visualization Software, Data Synthesis, Data Analysis, Communication, Data Validation, Large Language Modeling
4.6
Rating, 4.6 out of 5 stars
47 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
59K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Version Control, Other Programming Languages, Query Languages, Open Source Technology
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots
4.5
Rating, 4.5 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 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
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, Python Programming, Data Structures, Computer Programming Tools, Data Analysis Software, Software Development Tools
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
72K reviews
Beginner · Specialization · 3 - 6 Months
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
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
Introduction to Big Data with Spark and Hadoop
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging
4.4
Rating, 4.4 out of 5 stars
440 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM Back-End Development
Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Software Architecture, Linux Commands, Application Deployment, NoSQL, Kubernetes, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Containerization, Flask (Web Framework), Jupyter, Grafana
4.6
Rating, 4.6 out of 5 stars
49K reviews
Beginner · Professional Certificate · 3 - 6 Months