Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.

Peking University
Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Memory Management, C++ (Programming Language), Algorithms, File I/O, Object Oriented Design, Code Reusability, Graph Theory, Programming Principles, C (Programming Language), Program Development, Computer Programming, Data Storage, Theoretical Computer Science, Computer Science, Application Development, Computer Architecture, Software Design, Computational Thinking
★ 4.8 (2.7K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Data Processing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

Universitat Autònoma de Barcelona
Skills you'll gain: Microsoft PowerPoint, Microsoft Word, Microsoft Excel, Microsoft Office, Spreadsheet Software, digital literacy, Automation, Data Entry, Computer Literacy, Information Technology, Document Management, Data Analysis Software, Graphical Tools
★ 4.8 (6.6K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: JUnit, Test Automation, Unit Testing, Software Testing, Test Script Development, Verification And Validation, Test Tools, Test Case, Development Testing, Scenario Testing, Automation, Software Development, Debugging
Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Cascading Style Sheets (CSS), Web Content Accessibility Guidelines, HTML and CSS, Web Design, Web Design and Development, Responsive Web Design, Hypertext Markup Language (HTML), Web Development Tools, Web Development, Typography, Programming Principles, Debugging
★ 4.8 (9.7K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsive Web Design, Cascading Style Sheets (CSS), HTML and CSS, Bootstrap (Front-End Framework), Debugging, UI Components, Web Development Tools, Front-End Web Development, Web Design, Semantic Web, Hypertext Markup Language (HTML), Browser Compatibility, Web Content Accessibility Guidelines, Web Analytics and SEO, User Interface (UI), Software Engineering Tools, Development Testing, Data Validation, Javascript, Animations
★ 4.7 (1.9K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Vue.JS, JavaScript Frameworks, Web Development Tools, Front-End Web Development, Event-Driven Programming, Javascript, UI Components, Development Environment, Hypertext Markup Language (HTML)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: .NET Framework, User Interface (UI), User Interface (UI) Design, UI Components, Dashboard Creation, Animations, Mobile Development, User Interface and User Experience (UI/UX) Design, C# (Programming Language), Cross Platform Development, Role-Based Access Control (RBAC), Application Development, Code Reusability, Extensible Markup Language (XML)
Advanced · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision
★ 4.7 (78) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: HTML and CSS, Hypertext Markup Language (HTML), Web Development Tools, Web Design and Development, Web Development, Cascading Style Sheets (CSS), Web Design, Front-End Web Development, Javascript, Web Applications, Interactive Design, Full-Stack Web Development, Back-End Web Development
★ 4.6 (2.3K) · Beginner · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks