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
Tableau Learning Partner
Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Data Presentation, Geospatial Information and Technology, Stakeholder Communications, Geospatial Mapping, Business Reporting, Data Analysis, Business Analytics
University of Illinois Urbana-Champaign
Skills you'll gain: Mergers & Acquisitions, Business Valuation, Private Equity, Financial Analysis, Financial Modeling, Corporate Finance, Corporate Strategy, Market Data, Cash Flows, Risk Analysis
Skills you'll gain: Test Driven Development (TDD), Gherkin (Scripting Language), Code Coverage, Behavior-Driven Development, Software Testing, Unit Testing, Test Automation, Test Tools, API Testing, Test Case, Test Data, User Story, Mockups, Restful API, Microservices
Banco Interamericano de Desarrollo
Skills you'll gain: Failure Analysis, Risk Analysis, Risk Modeling, Feasibility Studies, Risk Management, Project Risk Management, Analysis, Risk Mitigation, Business Risk Management, Mitigation, Hazard Analysis, Business Priorities, Financial Analysis, Disaster Recovery, Cost Benefit Analysis, Climate Change Adaptation, Vulnerability Assessments, Governance, Resilience, Environment
Microsoft
Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram
Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Skills you'll gain: Software Architecture, Functional Requirement, Requirements Analysis, Internet Of Things, Software Design Patterns, User Requirements Documents, Android Development, Application Frameworks, Maintainability, Interoperability, Software Quality (SQA/SQC)
Peking University
Skills you'll gain: Bioinformatics, Biostatistics, Informatics, Molecular Biology, Predictive Modeling, Data Analysis Software, Data Processing, Statistical Analysis
Georgia Institute of Technology
Skills you'll gain: Mechanics, Torque (Physics), Engineering Analysis, Differential Equations, Engineering, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus
University of Washington
Skills you'll gain: Persuasive Communication, Public Speaking, Verbal Communication Skills, Storytelling, Driving engagement, Communication Strategies, Action Oriented, Constructive Feedback, Non-Verbal Communication
KodeKloud
Skills you'll gain: Jenkins, Terraform, Infrastructure as Code (IaC), Ansible, Package and Software Management, Kubernetes, Linux Administration, Continuous Integration, CI/CD, Git (Version Control System), Linux, Docker (Software), YAML, Application Development, Linux Commands, Microservices, Devops Tools, GitHub, Data Structures, DevOps
Coursera
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
In summary, here are 10 of our most popular statistics for data science courses
- Advanced Data Visualization with Tableau: Tableau Learning Partner
- Finance of Mergers and Acquisitions: Valuation and Pricing: University of Illinois Urbana-Champaign
- Introduction to Test and Behavior Driven Development: IBM
- Natural Disaster and Climate Change Risk Assessment: Banco Interamericano de Desarrollo
- Data Visualization Fundamentals: Microsoft
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- Software Architecture for the Internet of Things: 28DIGITAL
- Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
- Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
- Speaking to persuade: Motivating audiences with solid arguments and moving language: University of Washington
