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.

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Event-Driven Programming, Apache, Web Development, Web Scraping, Web Services, Web Applications, Python Programming, Web Servers, Databases, Extensible Markup Language (XML), Network Protocols, Hypertext Markup Language (HTML), Servers, User Interface (UI)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Integrated Development Environments, User Interface (UI), Jupyter, Development Environment, Application Development, Python Programming, Test Case, Debugging, Computational Logic
Mixed · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Climate Change Programs, Mathematical Modeling, NumPy, Physical Science, Simulation and Simulation Software, Environmental Science, Scientific Visualization, Matplotlib, Simulations, Numerical Analysis, Differential Equations, Mechanics
Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Creative Design, Data Structures, Programming Principles, Software Visualization, Python Programming, Computer Programming, Predictive Modeling, Algorithms, Computational Thinking, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Program Evaluation, Smart Goals, Surveys, Goal Setting, Survey Creation, Performance Measurement, Grant Writing, Data Collection, Research Methodologies
Beginner · Guided Project · Less Than 2 Hours