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: Data Visualization, Matplotlib, Data Processing, Plot (Graphics), Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Wrangling, Python Programming
Intermediate Ā· Specialization Ā· 1 - 3 Months

Pontificia Universidad Católica de Chile
Skills you'll gain: Object Oriented Design, Object Oriented Programming (OOP), Data Structures, Computer Programming, Algorithms, Program Development, Python Programming, Solution Design, Analysis
ā 4.7 (106) Ā· Intermediate Ā· Course Ā· 1 - 3 Months

Duke University
Skills you'll gain: Rust (Programming Language), Serverless Computing, Command-Line Interface, Maintainability, Amazon Web Services, Linux Commands, Application Deployment, System Programming, Python Programming, Package and Software Management, Performance Tuning, Software Testing
ā 5 (16) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Computing Platforms
ā 4.5 (182) Ā· Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Model Training, Deep Learning, Model Optimization, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
Advanced Ā· Course Ā· 1 - 4 Weeks

Logical Operations
Skills you'll gain: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development
Mixed Ā· Course Ā· 1 - 4 Weeks

Universidades AnƔhuac
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Computer Programming, Programming Principles, File I/O, Code Reusability, File Management, Embedded Software
Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Event-Driven Programming, Apache, Web Development, Web Scraping, Web Applications, Python Programming, Database Application, Data Persistence, Web Servers, Databases, Web Frameworks, Server Side, Application Frameworks, Extensible Markup Language (XML), Scripting, Network Protocols, Hypertext Markup Language (HTML), Servers, UI Components, User Interface (UI)
ā 5 (9) Ā· Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Django (Web Framework), Restful API, Object-Relational Mapping, Bootstrap (Front-End Framework), Application Deployment, HTML and CSS, Model View Controller, Database Management, Web Development, User Accounts, Responsive Web Design, Cloud Deployment, Web Design and Development, Authentications, Back-End Web Development, Frontend Integration, Development Environment, Authorization (Computing), Python Programming, Hypertext Markup Language (HTML)
Intermediate Ā· Course Ā· 3 - 6 Months

Skills you'll gain: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Interactive Data Visualization, Data Presentation, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Development Environment, Animations
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Data Presentation, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning, Feature Engineering, Applied Machine Learning, Data Pipelines, Python Programming, Numerical Analysis, Data Analysis
ā 4.9 (13) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: File I/O, Test Data, Test Case, Data Validation, Test Script Development, Verification And Validation, Data Cleansing, Python Programming
ā 4 (25) Ā· Intermediate Ā· Guided Project Ā· Less Than 2 Hours