Python for Beginners courses can help you learn basic programming concepts, data types, control structures, and functions. You can build skills in writing clean code, debugging, and using libraries like NumPy and pandas for data manipulation. Many courses also cover practical applications such as web scraping, data visualization, and automating tasks, providing hands-on experience with tools like Jupyter Notebook and Git.

Skills you'll gain: Business Process Automation, Data Presentation, Java, Productivity Software, C# (Programming Language), Data Capture, File I/O, Programming Principles, Scalability, Debugging
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration
Beginner · Course · 1 - 3 Months

Skills you'll gain: User Interface (UI), Design Thinking, UI Components, Software Design, Usability, Event-Driven Programming, Maintainability, Integrated Development Environments, User Interface (UI) Design, Payment Systems, Interactive Design, Application Design, MySQL, Jupyter, Database Application, Development Environment, Application Development, Python Programming, Transaction Processing, Microsoft Windows
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Algorithms, Debugging, Development Environment
Mixed · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Intermediate · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: English Language, Vocabulary, Writing, Business Writing, Interviewing Skills, Verbal Communication Skills, Social Skills, Professional Networking, Job Analysis, Business Communication, Communication, Recruitment
Mixed · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
Beginner · Course · 1 - 4 Weeks

Universidade de São Paulo
Skills you'll gain: Debugging, Computational Thinking, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), File I/O, Software Development, Automation, Data Structures, Programming Principles, Maintainability, Python Programming, Debugging, JSON
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks