R Programming Courses and Certifications

Coursera

Importing Data into R

19 ratings at Coursera

Import data into R from CSV and Excel files, other statistical software, the web, and relational databases in a hands-on project.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Codio

Data Analysis in R with RStudio & Tidyverse

19 ratings at Coursera

Code your first R programs in RStudio: compute descriptive statistics, import and wrangle data sets, and run statistical tests comparing populations and describing relationships.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt Career Certificate

R Ultimate 2024 - R for Data Science and Machine Learning

8 ratings at Coursera

Learn R from RStudio basics through machine learning: scrape and clean data, visualize with ggplot2 and Plotly, fit regressions, build CNNs and autoencoders, deploy Shiny apps.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

First Steps in R: Importing and Exporting Data

Import and export data in R with Visual Studio Code: read CSV, Excel, and text files, handle missing values, and save results in shareable formats.

• Coursera
• 3 hours 8 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze Data Using R for Statistical Analytics

Learn R programming from syntax and vectors to data frames, visualization, regression, decision trees, and time series analysis applied to business cases such as insurance analytics.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Analyze Data: Visualize, Summarize, and R

Set up R and its packages, inspect data frames, and use table() and count() to find frequency patterns across departments, vendors, and expense categories.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Analyze and Apply R for Data Analytics

Learn R for data analytics: work with core data structures, run statistical and quantitative analysis, build machine learning models, and explore data visually with ggplot2.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Analyze Data Using R for Statistical and Predictive Modeling

Learn R from syntax, vectors and data frames to charts, regression, decision trees and time series analysis, applying them to business cases such as insurance.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

R: Code, Import, Transform Data

Write your first R scripts: create variables, vectors, and data frames, import CSVs with read.csv(), then select and rename columns to clean a raw dataset.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Transform, Analyze, and Report Data with R

Build end-to-end R workflows: wrangle data with dplyr, automate parameterized reports in R Markdown and knitr, and evaluate models with ROC curves and k-fold cross-validation.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Data Management in R

Manage complex datasets in R: work with data frames, data.table and Tidyverse, survey data from SPSS and Stata, time series, spatial sf data, and text corpora.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

ภาษาอาร์และการวิเคราะห์ข้อมูล | R Programming for Data Analysis

เรียนรู้การใช้ภาษาอาร์ตั้งแต่พื้นฐานจนถึงการวิเคราะห์ข้อมูล การพยากรณ์ และการวิเคราะห์ข้อมูลขนาดใหญ่

• ThaiMOOC
• Self-Paced
• Free Certificate

Introduction to R and Geographic Information Systems (GIS)

Practical introduction to R for data structures, statistical models, loops, and functions, with GIS workflows for maps, projections, raster data, and spatial extraction.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Virtual: R for Data Analytics Corporate Training (Team Building)

Develop your team's data analytics expertise with comprehensive R programming training.

• CourseHorse
• 7 hours
• Self-Paced
• Paid Course

Great Learning

R Language for Beginners in Hindi - R Tutorial - Learn R Programming

1 rating

This R Language For Beginners video by Great Learning will act as a comprehensive guide in helping you master fundamental and core concepts of R Programming and help pave way for a career in Data Science in R Programming.

• YouTube
• 2 hours 17 minutes
• Self-Paced
• Free Video