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.

University of Michigan
Skills you'll gain: Debugging, Unit Testing, Relational Databases, Object Oriented Programming (OOP), Databases, Data Visualization Software, Object Oriented Design, Web Scraping, Data Science, Creative Design, Scatter Plots, Data Structures, Programming Principles, File I/O, Integrated Development Environments, Software Visualization, Python Programming, Computer Programming, Program Development, Diversity and Inclusion
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Descriptive Statistics, Data Mining, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Code Review, Microsoft Visual Studio, Development Environment, Maintainability, Integrated Development Environments, Scalability, Programming Principles, Software Development Tools, Python Programming, Debugging
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Email Automation, Automation, Application Programming Interface (API), Scripting, Python Programming, Web Scraping, Data Import/Export, Data Manipulation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Validation, Data Cleansing, Data Processing, Data Manipulation, Text Mining, Data Transformation, Scripting, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Relational Databases, Data Visualization Software, Databases, MySQL, Database Design, Database Systems, SQL, Database Management Systems, Database Management, Query Languages, Object Oriented Programming (OOP), Data Storage, Data Processing, Web Scraping, Python Programming, Data Collection, Display Devices
Mixed · Course · 1 - 3 Months

JetBrains
Skills you'll gain: Integrated Development Environments, File I/O, Software Development Tools, Python Programming, Development Environment, Data Structures, Computer Programming, Programming Principles, Scripting, Code Review, Data Processing, NumPy, Computational Thinking, Software Installation, Numerical Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
Mixed · Course · 1 - 4 Weeks