Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.

DeepLearning.AI
Skills you'll gain: ChatGPT, OpenAI API, LLM Application, Large Language Modeling, Prompt Engineering, Prompt Patterns, AI Workflows, OpenAI, Generative AI Agents, Self Service Technologies, Jupyter
★ 4.7 (359) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Machine Learning Methods, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Processing, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Animation and Game Design, Game Design, Video Game Development, Interactive Design, Animations, Event-Driven Programming, Debugging, User Interface (UI) Design, UI Components, Code Reusability, Program Development, Python Programming, Development Environment, Functional Design
Mixed · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Climate Change Programs, Mathematical Modeling, Predictive Modeling, Physical Science, Simulation and Simulation Software, Environmental Science, Process Modeling, Simulations, Numerical Analysis, Programming Principles
★ 4.1 (58) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
★ 4.7 (419) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Model Optimization, Predictive Analytics, Data Preprocessing, Statistical Modeling, Model Evaluation, Machine Learning Methods, Data Processing, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft Visual Studio, Python Programming, Software Installation, Program Development, Computer Programming, Development Environment, Integrated Development Environments, System Configuration
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Selenium (Software), GitHub, Git (Version Control System), Version Control, CI/CD, File I/O, Object Oriented Programming (OOP), Test Automation, Test Data, Unit Testing, Test Case, Software Testing, Test Script Development, Programming Principles, Web Development Tools, Code Reusability, Test Execution Engine, Javascript, Browser Compatibility, Scripting
★ 4.5 (13) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Video Game Development, Game Design, Programming Principles, Python Programming, Program Development, Computer Programming, Computational Logic, Computer Science
★ 4.6 (125) · Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: SQL, Query Languages, Database Software, Data Access, Relational Databases
★ 4.7 (343) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Model Training, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming
Beginner · Course · 3 - 6 Months