Python for Statistics Courses
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.
Popular Python for Statistics Courses and Certifications
Status: Free TrialUniversity of Michigan
Skills you'll gain: Creative Design, Data Structures, Programming Principles, Software Visualization, Python Programming, Computer Programming, Predictive Modeling, Algorithms, Computational Thinking, Debugging
Status: PreviewUniversity of Michigan
Skills you'll gain: Web Scraping, JSON, Extensible Markup Language (XML), Network Protocols, Data Access, Application Programming Interface (API), Restful API, Data Processing, Hypertext Markup Language (HTML), Scripting, Python Programming, Development Environment, Software Installation
Status: NewStatus: Free TrialSkills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Data Visualization, JSON, Programming Principles, Scripting, Scripting Languages, Data Structures, Development Environment, Microsoft Visual Studio, Integrated Development Environments, Computer Programming, Software Installation
- Status: Preview
University of Michigan
Skills you'll gain: Web Scraping, Restful API, Network Protocols, JSON, Extensible Markup Language (XML), TCP/IP, Application Programming Interface (API), Data Import/Export, Hypertext Markup Language (HTML), Data Processing, Python Programming, Software Installation, Development Environment
Status: NewStatus: Free TrialSkills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Python Programming, Debugging
Status: NewSkills you'll gain: OpenAI API, Back-End Web Development, Model Evaluation, Model Deployment, User Interface (UI) Design, Performance Tuning, Scalability
Status: Free TrialSkills you'll gain: Application Development, Object Oriented Programming (OOP), Interactive Design, User Interface (UI), Animations, Game Design, Python Programming, Computer Programming, Data Structures, Debugging
Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
Status: Free TrialSkills you'll gain: Selenium (Software), GitHub, Git (Version Control System), Version Control, CI/CD, File I/O, Object Oriented Programming (OOP), Test Automation, JUnit, Test Data, Unit Testing, Test Case, Regression Testing, Web Development Tools, Test Script Development, Software Testing, Javascript, Browser Compatibility, Scripting, Computer Programming
Skills you'll gain: Microsoft Visual Studio, Python Programming, Software Installation, Computer Programming, Development Environment, Integrated Development Environments, System Configuration
Skills you'll gain: Game Design, Python Programming, Programming Principles, Event-Driven Programming, Computer Programming, Data Storage, Computer Science
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming
In summary, here are 10 of our most popular python for statistics courses
- Big Ideas in Programming: Expressing Yourself with Python: University of Michigan
- Использование языка Python для доступа к веб-данным: University of Michigan
- Master Python with Real-World Data & Web Projects: Packt
- Uso de Python para Acceder a Datos Web: University of Michigan
- PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
- Create Your Own ChatGPT Clone using Python: Packt
- An Introduction to Interactive Programming in Python (Part 2): Rice University
- Classification Trees in Python, From Start To Finish: Coursera
- Selenium WebDriver 4 with Python - Zero To Hero: Packt
- Installation et Configuration Python avec Visual Studio Code: Coursera
