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    • R Programming

    R Programming Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

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    Explore the R Programming Course Catalog

    • Status: Free Trial
      Free Trial
      S

      SAS

      Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics

      Skills you'll gain: SAS (Software), Forecasting, Spatial Data Analysis, Data Visualization Software, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Predictive Analytics, Geospatial Mapping, Data Analysis, Geographic Information Systems, Data Manipulation, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      223 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Introduction to Python for Researchers

      Skills you'll gain: Programming Principles, Program Development, Microsoft Visual Studio, Computer Programming, Integrated Development Environments, Python Programming, Debugging, Development Environment

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Goodwill Industries International

      Goodwill® Digital Navigator Certificate

      Skills you'll gain: Cultural Responsiveness, Community Outreach, Educational Materials, Intercultural Competence, Relationship Building, Active Listening, Cultural Diversity, Digital Transformation, Disabilities, Community Development, Cultural Sensitivity, Trustworthiness, Web Content Accessibility Guidelines, Diversity Equity and Inclusion Initiatives, Professionalism, Telecommuting, Needs Assessment, Digital Communications, Computer Security Awareness Training, Planning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      178 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Программирование для всех (начало работы с Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      97 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Desarrollo de aplicaciones avanzadas con Android

      Skills you'll gain: Android Development, Application Deployment, Mobile Development, Cloud Applications, JSON, Restful API, User Interface and User Experience (UI/UX) Design, Web Services, Geospatial Information and Technology, Application Programming Interface (API), Animations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      97 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      UiPath

      Control Flow in RPA

      Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Programming Principles, Computational Logic

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines

      Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, Data Transformation, Jupyter, Google Cloud Platform, JSON, SQL

      4
      Rating, 4 out of 5 stars
      ·
      41 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Duke University

      人体生理学导论(中文版)

      Skills you'll gain: Respiration, Anatomy, Pulmonology, Neurology, Cardiology, Urology, Nephrology, Gynecology, Obstetrics And Gynecology, Biology, Nutrition and Diet, Vital Signs, Biochemistry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      102 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills, Data-Driven Decision-Making, Engineering Management, R Programming, Probability & Statistics, Variance Analysis, Regression Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    R Programming learners also search

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

    • Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics: SAS
    • Introduction to Python for Researchers: Imperial College London
    • Goodwill® Digital Navigator Certificate: Goodwill Industries International
    • Predictive Modeling and Machine Learning with MATLAB: MathWorks
    • Transfer Learning for NLP with TensorFlow Hub: Coursera Project Network
    • Программирование для всех (начало работы с Python): University of Michigan
    • Desarrollo de aplicaciones avanzadas con Android: Universidad Nacional Autónoma de México
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Control Flow in RPA: UiPath
    • Serverless Data Processing with Dataflow: Develop Pipelines: Google Cloud

    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 Programming

    R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.‎

    It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.‎

    Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.‎

    Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.‎

    Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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