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Results for "r programming"

  • J

    Johns Hopkins University

    R Programming

    Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Methods, Data Analysis, Debugging, Simulations, Program Development, Programming Principles, Software Installation, Data Structures, Performance Tuning, Data Import/Export

    4.5 stars, 22K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (22K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Development Environment

    4.5 stars, 625 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.5 (625) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning

    4.6 stars, 48K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (48K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • M

    Microsoft

    The R Programming Starter Course

    Skills you'll gain: Microsoft Visual Studio, R (Software), Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Statistical Programming, Program Development, Code Reusability, Development Environment, Data Manipulation, Computational Logic, Software Installation

    5 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 5 (6) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview

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  • I

    IBM

    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7 stars, 379 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (379) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Getting Started with R

    Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Software Installation, Data Analysis Software, Data Analysis, Data Science

    4.3 stars, 389 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.3 (389) · Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Microsoft R Programming for Everyone

    Skills you'll gain: Logistic Regression, Web Scraping, Data Visualization, Rmarkdown, Data Presentation, Data Storytelling, Version Control, Leaflet (Software), Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Cleansing, Probability & Statistics, Data Manipulation, R Programming, Data Preprocessing, R (Software), Data Wrangling

    4.2 stars, 9 reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.2 (9) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization

    4.7 stars, 7.7K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (7.7K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    IBM Java Developer

    Skills you'll gain: Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), Javascript, CI/CD, Restful API, Data Ethics, Java Programming, Model Deployment, Version Control, Database Management, Software Development, Software Design

    4.6 stars, 7.9K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.6 (7.9K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job skills
    Job skills
    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Data Visualization & Dashboarding with R

    Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Dashboard Creation, Scatter Plots, Plot (Graphics), Dashboard, R (Software), Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Spatial Analysis, Geospatial Information and Technology, Data Science, Data Analysis

    4.8 stars, 459 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.8 (459) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Expressway to Data Science: R Programming and Tidyverse

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Data Import/Export, Statistical Visualization, Data Wrangling, Statistical Reporting, Data Visualization Software, Data Presentation, Data Analysis, Data Science, Data Manipulation, Statistical Analysis, Relational Databases, Data Cleansing, Communication

    4.1 stars, 56 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.1 (56) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, R (Software), Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), Data Literacy, Web Presence, Data Structures, Interviewing Skills

    4.8 stars, 183K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.8 (183K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
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Best R Programming courses from Johns Hopkins University

Top-rated R Programming courses offered by Johns Hopkins University on Coursera.

  1. 1
    R Programming
    Johns Hopkins UniversityIntermediate1 - 4 Weeks4.5(22,378)Johns Hopkins University
  2. 2
    Data Science: Foundations using R
    Johns Hopkins UniversityBeginner3 - 6 Months4.6(48,242)Johns Hopkins University
  3. 3
    Data Visualization & Dashboarding with R
    Johns Hopkins UniversityBeginner3 - 6 Months4.8(459)Johns Hopkins University

Best R Programming certificate programs

Earn a certificate in R Programming from top universities and companies.

  1. 1
    Microsoft R Programming for Everyone
    MicrosoftBeginner3 - 6 Months4.2(9)Professional Certificate
  2. 2
    Data Analysis with R
    Duke UniversityBeginner3 - 6 Months4.7(7,733)Specialization
  3. 3
    IBM Java Developer
    IBMBeginner3 - 6 Months4.6(7,927)Professional Certificate

Best R Programming courses for beginners

Top-rated beginner-friendly R Programming courses with no prerequisites.

  1. 1
    Introduction to R Programming for Data Science
    IBMBeginner1 - 3 Months4.5(625)No prerequisites
  2. 2
    The R Programming Starter Course
    MicrosoftBeginner1 - 4 Weeks5.0(6)No prerequisites
  3. 3
    Getting Started with R
    CourseraBeginnerLess Than 2 Hours4.3(389)No prerequisites

Skills you can learn in Data Analysis

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Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

Frequently Asked Questions about R Programming

R programming is a language and environment specifically designed for statistical computing and data analysis. It is widely used among statisticians, data analysts, and researchers for its powerful capabilities in data manipulation, statistical modeling, and visualization. The importance of R programming lies in its ability to handle complex data sets and perform advanced analyses, making it a valuable tool in various fields, including finance, healthcare, and academia.‎

With skills in R programming, you can pursue various job roles such as data analyst, statistician, data scientist, and research analyst. These positions often require a strong understanding of data manipulation and analysis, as well as the ability to communicate findings effectively. Industries such as technology, finance, and healthcare are particularly keen on professionals who can leverage R to derive insights from data.‎

To learn R programming effectively, you should focus on several key skills. These include understanding the basics of programming concepts, data structures, and functions in R. Additionally, familiarity with data visualization libraries like ggplot2, data manipulation packages like dplyr, and statistical modeling techniques will enhance your proficiency. Knowledge of the R ecosystem and how to use R for data analysis is also crucial.‎

Some of the best online courses for R programming include the Introduction to R Programming for Data Science and the Data Analysis with R Programming. These courses provide foundational knowledge and practical skills that can help you get started with R programming and apply it to real-world data analysis.‎

Yes. You can start learning r programming on Coursera for free in two ways:

  1. Preview the first module of many r programming courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in r programming, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn R programming, start by selecting a beginner-friendly course that covers the basics. Engage with interactive exercises and projects to apply what you learn. Utilize online resources, such as forums and documentation, to enhance your understanding. Consistent practice and real-world application of R will help solidify your skills and boost your confidence in using the language.‎

Typical topics covered in R programming courses include data types and structures, functions, control flow, data visualization, and statistical analysis. Advanced courses may explore topics like machine learning, data wrangling, and the use of R packages for specific applications. Understanding these topics will provide a comprehensive foundation for using R in various data-related tasks.‎

For training and upskilling employees in R programming, courses like the Microsoft R Programming for Everyone Professional Certificate and the Expressway to Data Science: R Programming and Tidyverse Specialization are excellent choices. These programs are designed to equip learners with practical skills that can be directly applied in the workplace.‎

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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