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
Skills you'll gain: Python Programming, Algorithms, Data Structures, Data Mapping
Status: Free TrialSkills you'll gain: Multimodal Prompts, OpenAI API, ChatGPT, JSON, Large Language Modeling, Python Programming, Text Mining, Data Validation, Unstructured Data
Skills you'll gain: Cloud Applications, Authentications, Google Cloud Platform, Cloud API, Web Applications, User Accounts, Web Development Tools, Web Development, Network Security
Status: NewSkills you'll gain: Application Development, Application Design, Debugging
Status: Free TrialMicrosoft
Skills you'll gain: Microsoft SQL Servers, SQL, Transact-SQL, Databases, Relational Databases, Data Transformation, Data Manipulation, Query Languages, Generative AI, Data Analysis
Status: NewSkills you'll gain: Financial Data, Financial Analysis, Analytics
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Status: PreviewLudwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations
Skills you'll gain: Kubernetes, Containerization, Docker (Software), Application Deployment, Cloud Deployment, Google Cloud Platform, DevOps, Load Balancing, Cloud Services
Status: Free TrialFractal Analytics
Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Data Transformation, MySQL Workbench, Data Integrity
Status: NewSkills you'll gain: Data Visualization Software, Interactive Data Visualization, Data Storytelling, Seaborn, Tableau Software, Statistical Visualization, Dashboard, Matplotlib, Visualization (Computer Graphics), Heat Maps, Scatter Plots, Histogram
Skills you'll gain: Google App Engine, Cloud Deployment, Cloud Applications, Google Cloud Platform, Application Deployment, Cloud API, Web Applications, Cloud Services, Flask (Web Framework), Data Access, Cloud Storage, Image Analysis
In summary, here are 10 of our most popular python for statistics courses
- Tirer Parti des Listes Pour un Code Python Plus Simple : Coursera
- Prompt Engineering in Python, with GPT, and the OpenAI API: Packt
- App Dev: Adding User Authentication to your Application - Python: Google Cloud
- Python GUI Development with Tkinter: Build Pro Desktop Apps: Packt
- SQL Foundations: Microsoft
- Power BI Masterclass 8 -Python, Finance, and Advanced DAX: Packt
- Data Structures and Algorithms: University of California San Diego
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
- App Dev: Deploying the Application into Kubernetes Engine - Python: Google Cloud
- Data Analysis Using SQL: Fractal Analytics
