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
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Google
Go Beyond the Numbers: Translate Data into Insights
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming
4.7
Rating, 4.7 out of 5 stars
796 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
IBM
Applied Data Science Capstone
Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection
4.7
Rating, 4.7 out of 5 stars
7.3K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Pennsylvania
Introduction to Python Programming
Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Universidad de los Andes
Introducción a la ciencia de datos aplicada
Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking
4.7
Rating, 4.7 out of 5 stars
400 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages
4.5
Rating, 4.5 out of 5 stars
417 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
DeepLearning.AI
Python for Data Analytics
Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Accounting Data Analytics
Skills you'll gain: Machine Learning Algorithms, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Analytics, SQL, Supervised Learning, Accounting and Finance Software, Specialized Accounting
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
564 reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Infectious Diseases
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Python for Data Analysis: Pandas & NumPy
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming
4.5
Rating, 4.5 out of 5 stars
339 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Data Analysis Using Pyspark
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform
4.5
Rating, 4.5 out of 5 stars
302 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Alberta Machine Intelligence Institute
Machine Learning: Algorithms in the Real World
Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Intermediate · Specialization · 3 - 6 Months