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

IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
4.6
Rating, 4.6 out of 5 stars
41K reviews
Beginner · Course · 1 - 3 Months
Codio
Data Science and Analysis Tools - from Jupyter to R Markdown
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Interactive Data Visualization, Data Analysis, Data Import/Export, Data Visualization
3.9
Rating, 3.9 out of 5 stars
22 reviews
Beginner · Specialization · 3 - 6 Months
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
IBM
Data Analysis with Python
Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Data Science, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Analytics, Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Machine Learning Methods, Feature Engineering, Statistical Methods, Python Programming, NumPy
4.7
Rating, 4.7 out of 5 stars
19K reviews
Intermediate · Course · 1 - 3 Months
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
90K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Python 3 Programming
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Debugging, Object Oriented Design, Data Processing, Unit Testing, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Maintainability, Data Structures, Software Engineering, Application Programming Interface (API), Computer Programming, File Management, Functional Design
4.8
Rating, 4.8 out of 5 stars
22K reviews
Beginner · Specialization · 3 - 6 Months
Google
Get Started with Python
Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Computer Programming, Programming Principles, Scripting, Data Processing, Data Manipulation, Technical Communication
4.8
Rating, 4.8 out of 5 stars
1.5K reviews
Advanced · Course · 1 - 3 Months
IBM
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, 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
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Python Project for Data Science
Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
4.5
Rating, 4.5 out of 5 stars
4.6K reviews
Intermediate · Course · 1 - 4 Weeks
Google
Google Advanced Data Analytics
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Visualization, Tableau Software, Data Manipulation, Probability Distribution, Statistical Methods, Applied Machine Learning, Statistical Analysis, Object Oriented Programming (OOP), Data Analysis
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
5.9K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Statistics, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Data Import/Export
4.4
Rating, 4.4 out of 5 stars
4.4K reviews
Intermediate · Course · 1 - 4 Weeks