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.

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), File I/O, Computational Logic, Package and Software Management, Data Manipulation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Package and Software Management, Data Import/Export, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures, Software Engineering
Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging
Advanced · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months