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
Skills you'll gain: SQL, PostgreSQL, Query Languages, Data Manipulation
Status: NewStatus: Free TrialSkills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Power BI, Dashboard, No-Code Development, Data Visualization, Data Integration, Interactive Data Visualization, Microsoft 365, Business Intelligence, Business Process Automation, Application Development, Data Analysis, Performance Analysis, Generative AI Agents, Application Design, Automation, Data Security, Data Store, Computing Platforms
Status: FreeUniversity of Pennsylvania
Skills you'll gain: English Language, Language Interpretation, Translation, and Studies, Liberal Arts, Literacy, World History, Performing Arts
Status: PreviewUniversity of Leeds
Skills you'll gain: Programming Principles, Robotics, Python Programming, Program Development, Computer Programming, Scripting, Automation, Object Oriented Programming (OOP), Algorithms, Debugging, File I/O, Development Environment, Data Structures
Status: Free TrialUniversity of California, Irvine
Skills you'll gain: Core Data (Software), Apple iOS, iOS Development, JSON, Objective-C (Programming Language), OAuth, Authentications, Mobile Development, Single Sign-On (SSO), Secure Coding, Data Store, Cryptographic Protocols, Application Security, Data Persistence
Status: PreviewUniversity of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Status: Free TrialRice University
Skills you'll gain: Engineering Documentation, Concision, Electronic Media, Report Writing, Writing, Engineering Management, Technical Documentation, Editing, Collaboration, Professionalism, Communication, Planning
Status: Free TrialSkills you'll gain: Embedded Software, Debugging, Embedded Systems, Integrated Development Environments, C (Programming Language), Computer Programming Tools, Development Environment, Electronic Hardware, Electronics, Software Development Tools
Status: PreviewUniversity of Geneva
Skills you'll gain: Water Resources, Water Resource Management, Water Sustainability, Natural Resource Management, Environmental Laws, Environmental Policy, Governance, International Relations, Policy Analysis, Case Studies
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Electric Power Systems, Electrical Power, Energy and Utilities, Basic Electrical Systems, Systems Of Measurement, Sustainable Technologies, Case Studies, Reliability, Market Dynamics, Emerging Technologies, Scalability, Systems Integration, Capacity Management
Status: Free TrialSkills you'll gain: Restful API, Data Mapping, Scalability, Information Architecture, Data Management, Data Structures, Query Languages, JSON, Data Import/Export, Big Data
Skills you'll gain: MySQL, Google Cloud Platform, Data Mining, Database Administration, Microsoft SQL Servers, Cloud API, PostgreSQL, Metadata Management
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Introduction to SQL Window Functions: Coursera
- Unlock Powerful Automation and Analysis with Power Platform: Microsoft
- Modern & Contemporary American Poetry (“ModPo”): University of Pennsylvania
- An Introduction to Programming using Python: University of Leeds
- Networking and Security in iOS Applications: University of California, Irvine
- Cómo combinar y analizar datos complejos: University of Maryland, College Park
- Writing Skills for Engineering Leaders: Rice University
- Embedded C Programming Essentials: EDUCBA
- Water Resources Management and Policy: University of Geneva
- Renewable Power and Electricity Systems: University of Colorado Boulder
