Beginner Python courses can help you learn programming fundamentals, data types, control structures, and functions. You can build skills in writing clean code, debugging, and using libraries for data manipulation and visualization. Many courses introduce tools like Jupyter Notebook for interactive coding, Git for version control, and libraries such as Pandas and Matplotlib for data analysis and visualization.

LearnQuest
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)
Advanced · Course · 1 - 3 Months

Rice University
Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Spreadsheet Software, Google Sheets, Microsoft Excel, Data Visualization, Excel Formulas, Data Presentation, Data Entry, Data Analysis, Data Modeling
Beginner · Guided Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Cloud Infrastructure, Network Architecture, Computer Networking, Cloud Computing Architecture, Software-Defined Networking, Cloud Computing, Network Routing, TCP/IP, Wide Area Networks, Data Centers, Network Performance Management, Network Switches, Virtual Machines, Scalability, Python Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Meta
Skills you'll gain: Django (Web Framework), Web Development, Web Servers, Web Applications, Data Modeling, Back-End Web Development, MySQL, Application Security, Database Development, Model View Controller, Object-Relational Mapping, Application Frameworks, Database Management, Hypertext Markup Language (HTML)
Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Back-End Web Development, System Programming, Debugging, Computer Programming Tools, Data Access
Intermediate · Course · 1 - 3 Months

New York Institute of Finance
Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Risk Modeling, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Regulatory Requirements, Analysis
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months