Jupyter courses can help you learn data visualization, interactive computing, and how to create reproducible research. You can build skills in Python programming, data analysis with libraries like Pandas and NumPy, and using Markdown for documentation. Many courses introduce tools such as Jupyter Notebook and JupyterLab, which allow you to combine code, text, and visualizations seamlessly, making it easier to present your findings and collaborate on projects.
DeepLearning.AI
Skills you'll gain: Model Evaluation, Data Analysis, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Ethics, Machine Learning Algorithms, Artificial Intelligence, Model Training, Machine Learning, Applied Machine Learning, Responsible AI, Data Manipulation, Supervised Learning, Information Privacy, AI literacy, Environmental Monitoring, Healthcare Ethics, Public Health
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Python Programming
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Command-Line Interface, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Test Automation, Algorithms, Software Installation
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Data Analysis, Logistic Regression, Exploratory Data Analysis, Dependency Analysis, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: ChatGPT, OpenAI API, LLM Application, Large Language Modeling, Prompt Engineering, Prompt Patterns, AI Workflows, OpenAI, Generative AI Agents, Self Service Technologies, Jupyter
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AI Workflows, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks

Ludwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Software, Mathematical Modeling, Distributed Computing, Simulation and Simulation Software, Python Programming, Calculus, Mechanics, Vibrations, Simulations, Derivatives
Intermediate · Course · 1 - 3 Months