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  • R Programming

R Projects to Practice & Develop Your Skills

The R Projects listed focus on data analysis, statistical modeling, and visualization using R. Ideal for data scientists.

Explore R Programming Projects for All Levels


  • 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
    Rating, 4.3 out of 5 stars
    ·
    387 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Introduction to R: Basic R syntax

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis in R: Predictive Analysis with Regression

    Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

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  • C

    Coursera

    Tidy Messy Data using tidyr in R

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Statistical Visualization, R (Software), Data Analysis, Data Management, Pivot Tables And Charts

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • Status: Free
    Free
    C

    Coursera

    Get started with Jira

    Skills you'll gain: Workflow Management, Jira (Software), Product Roadmaps, Collaborative Software, Kanban Principles, Project Coordination, Agile Software Development, Agile Methodology, Issue Tracking, Agile Project Management, Project Management Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Getting Started with Rstudio

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    146 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Getting Started with Azure DevOps Boards

    Skills you'll gain: Sprint Planning, Azure DevOps, Backlogs, Collaborative Software, Issue Tracking, Kanban Principles, Agile Software Development, Microsoft Azure, Project Management, DevOps

    4.5
    Rating, 4.5 out of 5 stars
    ·
    631 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Create a Lead Generation Messenger Chatbot using Chatfuel

    Skills you'll gain: Lead Generation, Email Automation, No-Code Development, Google Sheets, Application Deployment, Real Time Data, Customer Communications Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Predictive Modeling, Data Pipelines, R (Software), Data-Driven Decision-Making, Analytics, Business Analytics, Data Science, Machine Learning Software, Feature Engineering, Data Preprocessing, Machine Learning Methods, Machine Learning, Model Training, Telemarketing, Model Deployment, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

1234…37

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

  • Getting Started with R: Coursera
  • Introduction to R: Basic R syntax: Coursera
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Tidy Messy Data using tidyr in R: Coursera
  • Get started with Jira: Coursera
  • Getting Started with Rstudio: Coursera
  • Getting Started with Azure DevOps Boards: Coursera
  • Create a Lead Generation Messenger Chatbot using Chatfuel: Coursera
  • Calculating Descriptive Statistics in R: Coursera

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 Projects

R Projects offers hands-on learning to build your R Programming skills. Designed with job-related tasks in mind, each project provides a unique opportunity to practice and acquire new skills. Expert guidance is available through pre-recorded videos to assist you along the way. Elevate your skill set with R Projects!‎

Worry not! Coursera provides a pre-configured cloud workspace for all R Projects with all the essential tools and resources you need. That means no downloads and no installations—just seamless, hassle-free learning. Dive right in and start enhancing your skills.‎

Not sure which R Projects is the right fit for your skill level? No worries! We've organized our projects into easily navigable skill tiers—beginner, intermediate, and advanced—so you can pinpoint the perfect project that aligns with your current R Programming expertise. Start enhancing your skills with a project that's tailor-made for you. Your path to R Programming mastery is just a click away!‎

If a project is either too simple or too challenging, switching between R Programming projects is an available option. Choose a project that best aligns with your skill level to maximize learning and skill development in R Programming.‎

Absolutely! R Programming projects are designed to provide job-related skills ideal for showcasing in your portfolio or resume. Elevate your career prospects by adding these hands-on experiences to your professional qualifications.‎

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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