Statistics For Data Science Courses
Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Popular Statistics For Data Science Courses and Certifications
Status: PreviewÉcole Nationale des Ponts et Chaussées
Skills you'll gain: Socioeconomics, Social Impact, Sustainable Development, Market Dynamics, Civil Engineering, Economic Development, Market Analysis, Sustainable Technologies, Public Policies, Environmental Policy, Electric Power Systems, Environmental Science, Economics, Cost Benefit Analysis, Climate Change Mitigation, Innovation
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Data Manipulation, Bioinformatics, Informatics, Data Processing, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Classification Algorithms, Analytics, Patient Evaluation, Model Evaluation, Machine Learning Algorithms, Data Validation, Performance Testing
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Performance Tuning, Artificial Intelligence, Maintainability, Python Programming, Performance Analysis, Software Architecture, Technical Writing, Program Standards
Status: NewSkills you'll gain: ChatGPT, Prompt Engineering, Software Development Tools, Test Automation, Technical Design, Docker (Software), Technical Documentation, Unit Testing, Application Deployment, Application Programming Interface (API), Application Development, Technical Communication
Status: Free TrialDuke University
Skills you'll gain: Object Oriented Programming (OOP), Java, Java Programming, Software Engineering, Programming Principles, Computer Programming, Software Design, Predictive Modeling, Algorithms, Data Structures, Performance Testing, File I/O, Debugging, Application Programming Interface (API)
Status: FreeAmazon Web Services
Skills you'll gain: Amazon Bedrock, Generative AI, AI Enablement, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Status: NewStatus: PreviewSkills you'll gain: DevSecOps, Kubernetes, Cloud Security, Cloud-Native Computing, Cyber Security Policies, Security Controls, Continuous Monitoring, Authorization (Computing), Policy Development, CI/CD, Policy Analysis, Open Source Technology, Cross Platform Development, Configuration Management, JSON
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Vector Databases, Data Management, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages, Analytics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Structural Analysis, Mechanical Engineering, Failure Analysis, Engineering Analysis, Mechanics, Materials science, Engineering Calculations, Civil Engineering, Mathematical Modeling, Trigonometry
Status: Free TrialAmazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon Web Services, Serverless Computing, Amazon DynamoDB, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Event-Driven Programming, Cloud Storage, Solution Architecture, Cloud Computing Architecture, Data Migration, API Gateway, Amazon Elastic Compute Cloud, Public Cloud, Database Systems, Software Architecture, Cloud Security
Status: NewStatus: Free TrialUniversity of Maryland, College Park
Skills you'll gain: Cybersecurity, Cyber Security Policies, Cyber Risk, Cyber Attacks, Cyber Governance, Cyber Security Strategy, Security Management, Infrastructure Security, Data Security, Threat Modeling, Computer Security, Security Awareness, Risk Management, Enterprise Security, Vulnerability, Governance, General Networking, Public Safety and National Security, Threat Detection, Artificial Intelligence
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In summary, here are 10 of our most popular statistics for data science courses
- Electric Vehicles and Mobility: École Nationale des Ponts et Chaussées
- Identifying Patient Populations: University of Colorado System
- Optimize Python for Agentic AI: Coursera
- ChatGPT and Prompt Engineering for Software Development: Packt
- Java Programming: Principles of Software Design: Duke University
- Amazon Bedrock - Getting Started with Generative AI: Amazon Web Services
- Implementing Open Policy Agent for Policy-Driven Control: Coursera
- GIS Data Formats, Design and Quality: University of California, Davis
- Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
- Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading: Georgia Institute of Technology
