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
Packt
Foundations of Data Analysis with Pandas and Python
Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Integrated Development Environments, Development Environment, Software Installation, Object Oriented Programming (OOP)
4.8
Rating, 4.8 out of 5 stars
16 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
LearnQuest
Introduction to Data Science and scikit-learn in Python
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures
3.7
Rating, 3.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
Skills you'll gain: ChatGPT, Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Application Programming Interface (API), Application Development, Jupyter
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Beginner · Project · Less Than 2 Hours
Coursera Project Network
Clean and analyze social media usage data with Python
Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Cleansing, Jupyter
4.1
Rating, 4.1 out of 5 stars
32 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization
4.6
Rating, 4.6 out of 5 stars
25 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Fractal Analytics
Python for Data Science
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Descriptive Statistics, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming
4
Rating, 4 out of 5 stars
45 reviews
Beginner · Course · 1 - 3 Months
University of Leeds
Programming for Data Science
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Software Installation, Data Structures, Data Science, Software Documentation, Debugging
4.3
Rating, 4.3 out of 5 stars
25 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
New York University
Fundamentals of Machine Learning in Finance
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter
3.7
Rating, 3.7 out of 5 stars
338 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Modeling, Data Access
4.3
Rating, 4.3 out of 5 stars
176 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Scrape and analyze data analyst job requirements with Python
Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter
3.2
Rating, 3.2 out of 5 stars
13 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Duke University
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Histogram, Google Sheets, Microsoft Excel, Pandas (Python Package), Data Manipulation
4.1
Rating, 4.1 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
Korea Advanced Institute of Science and Technology(KAIST)
Practical Python for AI Coding 1
Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Jupyter, Program Development, Integrated Development Environments, Computer Programming Tools, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
84 reviews
Beginner · Course · 1 - 3 Months