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  • R Statistics

R Statistics Courses

R Statistics courses can help you learn data manipulation, statistical modeling, hypothesis testing, and data visualization techniques. You can build skills in regression analysis, time series forecasting, and creating reproducible reports. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support analyzing datasets and presenting findings effectively. By engaging with these tools, you can apply statistical methods to real-world problems, enhancing your ability to draw insights from data.


Popular R Statistics Courses and Certifications


  • U

    Universidad Austral

    Desarrollo del lado servidor: NodeJS, Express y MongoDB

    Skills you'll gain: Server Side, Node.JS, Back-End Web Development, Restful API, Web Development, MongoDB, Application Deployment, OAuth, Web Servers, Application Programming Interface (API), API Design, Web Applications, Cloud Deployment, Authentications, Object-Relational Mapping, NoSQL, Data Persistence, Software Testing, Routing Protocols

    ★ 4.1 (113) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    The OSINT Handbook: Mastering Open Source Intelligence

    Skills you'll gain: Threat Detection, Cyber Security Strategy, Cyber Threat Intelligence, Cybersecurity, Spatial Analysis, Interactive Data Visualization, Geospatial Information and Technology, Web Scraping, Penetration Testing, Digital Forensics, IT Automation, Data Security, Security Awareness, Personally Identifiable Information, Network Security, Scripting, Network Analysis, Open Source Technology, Information Privacy

    ★ 4.3 (6) · Intermediate · Course · 1 - 3 Months

  • P

    Peking University

    C#程序设计

    Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, C and C++, .NET Framework, Data Access, C++ (Programming Language), Microsoft Visual Studio, Extensible Markup Language (XML), Computer Programming, Data Structures, Programming Principles, Extensible Languages and XML, Java Programming, Database Management, C (Programming Language), Algorithms, Event-Driven Programming, User Interface (UI), UI Components

    ★ 4.5 (53) · Intermediate · Course · 3 - 6 Months

  • N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, AI literacy, Data Literacy, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, AI Integrations, Unstructured Data, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Cervical Cancer Risk Prediction Using Machine Learning

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Model Training, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Import/Export, Applied Machine Learning, Data Visualization Software, Machine Learning, Risk Analysis

    ★ 4.7 (44) · Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Full-Stack Developer Capstone Project

    Skills you'll gain: ASP.NET, Restful API, Full-Stack Web Development, Cloud Deployment, Performance Tuning, Frontend Integration, .NET Framework, Data Modeling, Frontend Performance, Development Environment, Software Development Tools, Object-Relational Mapping, Web Development, Software Development, Cloud Infrastructure, Web Applications, UI Components, Code Reusability, Authentications, Application Development

    ★ 4.9 (11) · Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Global Disease Masterclass: Global Disease Distribution

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Health Disparities, Public Health, Health Equity, Social Determinants Of Health, Infectious Diseases, Health Policy, Socioeconomics, Health Assessment, Demography, Disabilities, Chronic Diseases, Statistical Analysis, Data Collection

    ★ 4.7 (130) · Beginner · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, Prompt Patterns, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Vision Transformer (ViT), AI powered creativity, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • V

    Vanderbilt University

    From Data to Decisions: Making Predictions with AI

    Skills you'll gain: Statistical Methods, Data Literacy, Regression Analysis, Statistical Analysis, Correlation Analysis, Technical Communication, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, AI literacy, Predictive Modeling

    ★ 4.8 (18) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Perform basic data analysis tasks using Java streams

    Skills you'll gain: Data Import/Export, Data Wrangling, Data Analysis, Exploratory Data Analysis, Java, Data Processing, Data Manipulation, Java Programming, Statistical Methods, Statistics

    ★ 4.5 (6) · Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Data Augmented Technology Assisted Medical Decision Making

    Skills you'll gain: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Statistical Machine Learning, Patient Communication, Health Care Procedure and Regulation, Clinical Research, Model Evaluation, Data Ethics, Probability & Statistics, Health Technology, Health Informatics, Decision Intelligence, Health Policy, Responsible AI, Machine Learning, Applied Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Social Science Approaches to the Study of Chinese Society Part 1

    Skills you'll gain: Social Sciences, Social Studies, Science and Research, Research Design, Surveys, Qualitative Research, Research, Research Methodologies, Sociology, Scientific Methods, Political Sciences, Experimentation, Anthropology, Economics, Correlation Analysis, Demography

    ★ 4.7 (52) · Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular r statistics courses

  • Desarrollo del lado servidor: NodeJS, Express y MongoDB: Universidad Austral
  • The OSINT Handbook: Mastering Open Source Intelligence: Packt
  • C#程序设计: Peking University
  • Practical AI for Professionals: Northeastern University
  • Cervical Cancer Risk Prediction Using Machine Learning: Coursera
  • Full-Stack Developer Capstone Project: Microsoft
  • Global Disease Masterclass: Global Disease Distribution: Imperial College London
  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • From Data to Decisions: Making Predictions with AI: Vanderbilt University
  • Perform basic data analysis tasks using Java streams: Coursera

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