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: 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

Duke University
Skills you'll gain: Scalability, Performance Analysis, Simulations, Algorithms, Complex Problem Solving, Theoretical Computer Science, Python Programming, Data Structures, Software Architecture, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Version Control, Test Script Development, Continuous Integration, Test Execution Engine, Test Tools, Automation, Scripting, Web Scraping, Hypertext Markup Language (HTML), Software Design Patterns, Development Environment, Integrated Development Environments, Debugging, Command-Line Interface, File I/O
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Programming Principles, Data Dictionary, Computational Logic, Data Cleansing, Data Structures, Python Programming, Pseudocode, Data Manipulation, Debugging
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: MongoDB, Data Transformation, Customer Analysis, Data Analysis, Back-End Web Development, Customer Data Management, Data Processing, NoSQL, Data Maintenance, Pandas (Python Package), Database Design, Data Validation, Financial Data, Data Import/Export, Database Management, Data Cleansing, Databases, Data Pipelines, Data Access, Query Languages
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Bootstrap (Front-End Framework), Web Development, Development Environment, Web Development Tools, Web Design and Development, JSON, Web Applications, Web Content Accessibility Guidelines, Scripting, Browser Compatibility, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Event-Driven Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Brute-force attacks, Cryptography, Encryption, Python Programming, Scripting, User Interface (UI), Statistical Programming, UI Components, Application Development
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Data Science, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
Mixed · Course · 1 - 4 Weeks