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 TrialMacquarie University
Skills you'll gain: Video Production, Infographics, Course Development, Developing Training Materials, Multimedia, Podcasting, Content Creation, Constructive Feedback, Storyboarding, Education Software and Technology, Design, Design Elements And Principles, Design Strategies, Storytelling
Status: Free TrialGoogle Cloud
Skills you'll gain: AI Security, Responsible AI, Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Data Loss Prevention, Data Security, Cloud Security, Safety and Security, Data Governance, Model Evaluation, Encryption
Google Cloud
Skills you'll gain: Redis, Data Store, Scalability, Cloud Storage, Middleware
Skills you'll gain: Javascript, Programming Principles, Computer Programming, Web Development, Application Development
Skills you'll gain: Kubernetes, Containerization, Docker (Software), Cloud-Native Computing, Application Deployment, Data Persistence, Configuration Management, Amazon Web Services, YAML, Microservices, Cloud Deployment, Command-Line Interface
Status: PreviewUniversity of Glasgow
Skills you'll gain: Responsible AI, digital literacy, Education Software and Technology, Generative AI, Artificial Intelligence, Data Ethics, Emerging Technologies, Instructional Design, Case Studies, Problem Solving, Critical Thinking, Social Impact
Status: PreviewKnowledge Accelerators
Skills you'll gain: Microsoft 365, Project Management, Project Coordination, Project Planning, Leadership and Management, Project Management Software, Calendar Management, Project Implementation, Collaborative Software, Workflow Management, Productivity, Productivity Software, Data Management, Business Software
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Skills you'll gain: Agile Software Development, Agile Project Management, Agile Methodology, Scrum (Software Development), Kanban Principles, Software Development Methodologies, Project Estimation, Sprint Planning, Estimation, Backlogs, Sprint Retrospectives, Project Management, Workflow Management, User Story, Continuous Improvement Process
Skills you'll gain: IntelliJ IDEA, Software Development Tools, Development Environment, Scala Programming, Build Tools, Software Development, Software Installation, Software Engineering
Status: FreeAmazon Web Services
Skills you'll gain: Amazon Web Services, Cloud Computing, Cloud Services, Cloud Infrastructure, Cloud Solutions, Public Cloud, Operational Efficiency, Innovation, Digital Transformation, Business Solutions
Status: FreeSkills you'll gain: Video Editing, Adobe Premiere, Storytelling, Post-Production, Content Creation, TikTok, Timelines, Color Matching, File Management
In summary, here are 10 of our most popular python for statistics courses
- Create video, audio and infographics for online learning : Macquarie University
- Responsible AI for Developers: Privacy & Safety: Google Cloud
- Exploring Memorystore for Redis Cluster: Google Cloud
- Javascript for Beginners: Primitive Data Types: Coursera
- Kubernetes Masterclass for Application Developers: Packt
- Generative AI in the Classroom for Educators: University of Glasgow
- Microsoft Planner - Essential Training for Managing Projects: Knowledge Accelerators
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- Agile Masterclass: Agile for Project Management: Packt
- Configuring for Scala with IntelliJ IDEA: Coursera
