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: NewStatus: Free TrialSkills you'll gain: Animation and Game Design, Animations, Video Game Development, User Interface (UI) Design, Computer Graphic Techniques, Visualization (Computer Graphics), Game Design, Python Programming, Computer Graphics, Image Analysis, Program Development, Peripheral Devices, Debugging
Skills you'll gain: Flask (Web Framework), Web Development, Web Applications, Application Development, Web Development Tools, Object-Relational Mapping, Back-End Web Development, Software Development, Database Management, Python Programming, Computer Programming
Skills you'll gain: Django (Web Framework), Restful API, Object-Relational Mapping, Bootstrap (Front-End Framework), Application Deployment, HTML and CSS, Model View Controller, Database Management, Web Development, User Accounts, Responsive Web Design, Back-End Web Development, Python Programming
Status: PreviewUniversity of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Program Development, Algorithms, Computational Thinking, Data Structures
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms
Status: NewSkills you'll gain: Analytics, Integrated Development Environments
Status: PreviewSkills you'll gain: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis
Status: NewStatus: PreviewSkills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
Status: NewSkills you'll gain: Scripting, Data Import/Export
Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications
Status: PreviewUniversidade de São Paulo
Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Theoretical Computer Science, Python Programming, Algorithms, Data Structures, Computer Science, Computational Thinking, Scripting, Scripting Languages, Software Testing, Performance Testing
Status: NewSkills you'll gain: File I/O, Cryptography, User Accounts
In summary, here are 10 of our most popular python for statistics courses
- Intermediate Python Game Development with Pygame: EDUCBA
- Create Your First Web App with Python and Flask: Coursera
- Django (Python) Web Framework - The Comprehensive Guide: Packt
- Programmation pour tous (mise en route de Python): University of Michigan
- Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
- Python 101 - From Noob to Nerd: Packt
- First Steps in Python with Jupyter Notebooks: Coursera
- Predictive Modeling with Python: Apply & Evaluate: EDUCBA
- Python Mastery: Build Web Apps, Automate Tasks & Explore AI: Packt
- Analyze Box Office Data with Seaborn and Python: Coursera
