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 Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Unified Modeling Language, Software Design, Image Analysis, Python Programming, Jupyter, Software Engineering, Application Programming Interface (API), Object Oriented Programming (OOP), Computer Vision, Integrated Development Environments, Computer Programming
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
Intermediate · Course · 3 - 6 Months

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: User Interface (UI), Design Thinking, UI Components, Software Design, Usability, Event-Driven Programming, Maintainability, Integrated Development Environments, User Interface (UI) Design, Payment Systems, Interactive Design, Application Design, MySQL, Jupyter, Database Application, Development Environment, Application Development, Python Programming, Transaction Processing, Microsoft Windows
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Data Processing, Multilingualism, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Scikit Learn (Machine Learning Library), Computer Programming, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Bash (Scripting Language), Python Programming, Unix Shell, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment, Data Structures
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Animation and Game Design, Video Game Development, 3D Assets, Event-Driven Programming, Animations, Game Design, Graphics Software, Computer Graphics, Visualization (Computer Graphics), Interactive Design, Computer Graphic Techniques, User Interface (UI), User Interface (UI) Design, UI Components, Program Development, Python Programming, Application Design, Development Environment, Debugging, Development Testing
Beginner · Specialization · 1 - 3 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: 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

Skills you'll gain: Design Thinking, Usability, User Interface (UI) Design, UI Components, Interactive Design, Application Design, Python Programming, Application Development, Event-Driven Programming
Mixed · Course · 1 - 4 Weeks