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    Results for "r"

    • Status: Free
      Free

      Erasmus University Rotterdam

      Necessary Condition Analysis (NCA)

      Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Amsterdam

      Try RRI! A guide for Responsible Research and Innovation

      Skills you'll gain: Science and Research, Research, Experimentation, Risk Management, Innovation, Policty Analysis, Research, and Development, Stakeholder Engagement, Governance, Collaboration, Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • Vanderbilt University

      Building Cloud Services with the Java Spring Framework

      Skills you'll gain: Spring Framework, Object-Relational Mapping, Cloud Security, Java, Scalability, Cloud Services, Web Services, Cloud Computing, JSON, Security Controls, Restful API, Web Applications, Object Oriented Design, Database Design, Software Design, Dependency Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      251 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • L&T EduTech

      Digital Technology in Manufacturing

      Skills you'll gain: Product Lifecycle Management, Embedded Systems, Embedded Software, Manufacturing and Production, Robotic Process Automation, Manufacturing Processes, Control Systems, Computer-Aided Design, Manufacturing Operations, Programmable Logic Controllers, Automation, Internet Of Things, Production Process, Mechanical Design, Cyber Engineering, Lean Manufacturing, Digital Transformation, Business Technologies, Engineering Analysis, C (Programming Language)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Universidade de São Paulo

      Redes Ecológicas

      Skills you'll gain: Network Analysis, Data Visualization, Scientific Visualization, Analysis, Graph Theory, Exploratory Data Analysis, Environmental Science, R Programming, Data Analysis Software, Mathematical Modeling, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • SkillUp EdTech

      ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

      Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Google Cloud

      How Google does Machine Learning en Español

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Machine Learning, Data Ethics, Cloud Computing, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Rutgers the State University of New Jersey

      Our Share: Employee Ownership as a Wealth Sharing Tool

      Skills you'll gain: Employee Engagement, Diversity Equity and Inclusion Initiatives, Social Justice, Workforce Development, Compensation Management, Compensation Strategy, Economics, Policy, and Social Studies, Economic Development, Community Development, Governance, Business Modeling, Business Research, Succession Planning, Research

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Peking University

      数据结构基础

      Skills you'll gain: Data Structures, Computational Thinking, Graph Theory, Theoretical Computer Science, Programming Principles, Algorithms, Computer Programming, Data Storage, C (Programming Language), C++ (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      251 reviews

      Mixed · Course · 1 - 3 Months

    • University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to r

    reinforcement learning
    real estate
    risk management
    robotics
    regulatory compliance
    research methodology
    radiology
    real estate development
    1…293031…48

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

    • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
    • Try RRI! A guide for Responsible Research and Innovation: University of Amsterdam
    • Building Cloud Services with the Java Spring Framework: Vanderbilt University
    • Dealing With Missing Data: University of Maryland, College Park
    • Digital Technology in Manufacturing: L&T EduTech
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Redes Ecológicas: Universidade de São Paulo
    • ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization: SkillUp EdTech
    • How Google does Machine Learning en Español: Google Cloud
    • Our Share: Employee Ownership as a Wealth Sharing Tool: Rutgers the State University of New Jersey

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about R

    R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis, statistical computing, and graphical representation, including:

    • Fundamentals of R syntax and programming environment
    • Data manipulation and cleaning techniques using R packages like dplyr and tidyr
    • Statistical analysis and model building to interpret complex data sets
    • Creating compelling visualizations with ggplot2 and other visualization tools
    • Developing reproducible reports and interactive web apps with R Markdown and Shiny
    • Applying R in various domains such as finance, healthcare, and academic research ‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Coursera’s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.‎

    Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication:

    • Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language.
    • Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R.
    • Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R. ‎

    Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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