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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
      K

      KodeKloud

      Python for the Absolute Beginner

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Debugging, Computer Programming, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Data Visualization for Genome Biology

      Skills you'll gain: Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Heat Maps, Molecular Biology, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

      Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Query Languages, Power BI, Data Loss Prevention

      4.3
      Rating, 4.3 out of 5 stars
      ·
      125 reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Infosec

      OWASP Top 10 - 2021

      Skills you'll gain: Open Web Application Security Project (OWASP), Authentications, Vulnerability Assessments, Application Security, Vulnerability Management, Event Monitoring, Secure Coding, Data Integrity, Continuous Monitoring, Security Controls, Security Testing, Cybersecurity, Patch Management, Authorization (Computing), Cryptography, System Configuration, Encryption, Software Design, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      117 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Peking University

      C#程序设计

      Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), C++ (Programming Language), C and C++, Computer Programming, Microsoft Visual Studio, Extensible Markup Language (XML), Data Structures, Data Access, Java, Database Management, Program Development, User Interface (UI), Algorithms, Event-Driven Programming, Network Model, Computer Graphics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of Michigan

      Leveraging Generative AI for Social Impact Organizations

      Skills you'll gain: Prompt Engineering, Generative AI, Workflow Management, Service Improvement, Resource Utilization, ChatGPT, Customer experience improvement, Business Process Automation, Capacity Planning, Artificial Intelligence, Content Creation, Business Ethics, Automation, Data Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Computational Logic, Matlab, Process Control, Sampling (Statistics), Embedded Systems, Engineering Analysis, System Requirements, Electrical and Computer Engineering, Mathematical Modeling, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Estimation, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Analytics on Google Cloud

      Skills you'll gain: Data-Driven Decision-Making, Looker (Software), Data Storytelling, Data Presentation, Big Data, Data Analysis, Google Cloud Platform, Analytics, Business Intelligence, Data Storage, Data Visualization Software, Dashboard, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Análisis estático lineal y no lineal de estructuras

      Skills you'll gain: Structural Analysis, Engineering Analysis, Civil Engineering, Finite Element Methods, Numerical Analysis, Program Development, Linear Algebra, Python Programming, Simulation and Simulation Software

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Science Coding Challenge: Loan Default Prediction

      Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    R Programming learners also search

    R
    Data
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    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…148149150…292

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

    • Python for the Absolute Beginner: KodeKloud
    • Data Visualization for Genome Biology: University of Toronto
    • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • OWASP Top 10 - 2021: Infosec
    • C#程序设计: Peking University
    • Leveraging Generative AI for Social Impact Organizations: University of Michigan
    • Controle a Tempo Discreto: Instituto Tecnológico de Aeronáutica
    • Introduction to Data Analytics on Google Cloud : Google Cloud
    • Análisis estático lineal y no lineal de estructuras: Universidad de los Andes

    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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