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  3. R Programming

R Courses

R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

Popular R Courses and Certifications

  • C

    Coursera

    Getting Started with R

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

    4.3 stars, 390 reviews, Beginner, Guided Project, Less Than 2 Hours

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

  • C

    Coursera

    Introduction to R: Basic R syntax

    Skills you'll gain: R (Software), R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

    4.5 stars, 52 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (52) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Data Visualization, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8 stars, 37 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, R Programming, Statistical Analysis, R (Software), Statistical Methods, Statistics, Data Science

    4.8 stars, 52 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.8 (52) · Beginner · Guided Project · Less Than 2 Hours

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  • C

    Coursera

    Getting Started with Rstudio

    Skills you'll gain: Interactive Data Visualization, Plot (Graphics), R (Software), Software Installation, Package and Software Management, R Programming, Integrated Development Environments

    4.6 stars, 146 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (146) · Beginner · Guided Project · Less Than 2 Hours

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  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Data Import/Export

    4.6 stars, 93 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (93) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, R Programming, Data Analysis, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Machine Learning

    4.5 stars, 33 reviews, Intermediate, Guided Project, Less Than 2 Hours

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

  • C

    Coursera

    Tidy Messy Data using tidyr in R

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Cleansing, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management

    4.6 stars, 10 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.6 (10) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Create Your First Python Program From UST

    Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Computer Programming, Computer Programming Tools, Program Development

    4.6 stars, 3.1K reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (3.1K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

    Skills you'll gain: Prompt Engineering, OpenAI API, Education Software and Technology, Generative AI, AI Integrations, OpenAI, Scripting, Python Programming, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

    4.4 stars, 81 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.4 (81) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    API Testing a real web application via Postman

    Skills you'll gain: API Testing, Postman API Platform, OAuth, Application Programming Interface (API), Performance Testing, Security Testing, Software Testing

    4.3 stars, 76 reviews, Beginner, Guided Project, Less Than 2 Hours

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

  • C

    Coursera

    Build a mobile app with Google Sheets on Glide and no coding

    Skills you'll gain: No-Code Development, Mobile Development, Google Sheets, Application Development, Mobile Development Tools, Application Design, Application Deployment, Development Testing, Spreadsheet Software, Data Structures, User Interface (UI), User Accounts, Authentications, Web Development, Marketing

    4.5 stars, 695 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (695) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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Best free R Programming courses

High-quality free R Programming courses you can start today.

  1. 1
    Create Your First Python Program From UST
    CourseraBeginnerLess Than 2 Hours4.6(3,114)Free
  2. 2
    Build a mobile app with Google Sheets on Glide and no coding
    CourseraBeginnerLess Than 2 Hours4.5(695)Free

Best R Programming courses from Coursera

Top-rated R Programming courses offered by Coursera on Coursera.

  1. 1
    Getting Started with R
    CourseraBeginnerLess Than 2 Hours4.3(390)Coursera
  2. 2
    Introduction to R: Basic R syntax
    CourseraBeginnerLess Than 2 Hours4.5(52)Coursera
  3. 3
    Using probability distributions for real world problems in R
    CourseraBeginnerLess Than 2 Hours4.8(37)Coursera

Best R Programming courses for beginners

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

  1. 1
    Calculating Descriptive Statistics in R
    CourseraBeginnerLess Than 2 Hours4.8(52)No prerequisites
  2. 2
    Getting Started with Rstudio
    CourseraBeginnerLess Than 2 Hours4.6(146)No prerequisites
  3. 3
    Using Descriptive Statistics to Analyze Data in R
    CourseraBeginnerLess Than 2 Hours4.6(93)No prerequisites

Best short R Programming courses

Quick R Programming courses you can complete in a few hours or less.

  1. 1
    Build and deploy a stroke prediction model using R
    CourseraIntermediateLess Than 2 Hours4.5(33)Quick completion
  2. 2
    Tidy Messy Data using tidyr in R
    CourseraIntermediateLess Than 2 Hours4.6(10)Quick completion
  3. 3
    Prompt Engineering with GPT: Programming for Custom Content
    CourseraIntermediateLess Than 2 Hours4.4(81)Quick completion

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 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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