R Programming Courses and Certifications

Statistics and Machine Learning in R

If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

1littlecoder

Loops and Control Flow in R Programming - Data Science in Tamil

Learn about control flow, iterations, and loops in R programming for effective data manipulation and analysis.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

R Programming Hands-on Specialization for Data Science (Lv1)

544 ratings at Udemy

An in-depth course on R language with real-world Data Science examples to supercharge your R data analysis skills

• Udemy
• 11 hours
• Self-Paced
• Paid Course

Great Learning

Programming Tutorials - Complete Course Collection in C, Java, Python, R, SQL, HTML, CSS, JavaScript, DevOps, and Docker

Master essential programming languages and technologies through comprehensive tutorials covering C, Java, Python, R, SQL, web development, and DevOps fundamentals.

• YouTube
• 3 days 2 hours
• Self-Paced
• Free Video

R Programming 101

Data Manipulation with R Programming - Tidyverse and Dplyr for Beginners

Master data wrangling with R and tidyverse packages through hands-on manipulation, filtering, cleaning, and transformation techniques for beginners.

• YouTube
• 5 hours 4 minutes
• Self-Paced
• Free Video

Career Certificate

Data Science: Foundations using R

48222 ratings at Coursera

Master foundational data science skills: R programming, data manipulation, visualization, and reproducible research techniques for effective analysis and communication.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Facebook

Data Analysis with R

18 ratings

Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.

• Udacity
• 23 hours
• Self-Paced
• Free Online Course

Introduction to Probability and Data with R

6 ratings

Learn sampling, data exploration, and basic probability using R. Gain practical skills in statistical analysis through hands-on exercises and a final project.

• Coursera
• 14 hours 35 minutes
• Self-Paced
• Paid Course

Data Science Dojo

Building Our First Model - Introduction to Text Analytics with R Part 4

Learn to build and evaluate a text classification model using R, covering tokenization, cross-validation, parallel processing, and decision tree training for optimal accuracy in text analytics.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Data Science Dojo

Data Pipelines - Introduction to Text Analytics with R Part 3

Explore text analytics pre-processing techniques using R, including tokenization, stop word removal, and stemming. Learn to create document-frequency matrices for machine learning models.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Data Science Dojo

Introduction to Event Log Mining with R

Learn to mine event logs using R and ProM, covering scenarios, benefits, data requirements, analysis techniques, and feature creation for machine learning models in various data sources.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Data Science Dojo

Scale R to Big Data with Hadoop & Spark

Learn to scale R for big data using Hadoop and Spark. Set up a Spark cluster, wrangle HDFS data, and build/deploy machine learning models using Microsoft R Server and distributed processing libraries.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

K-Means Implementation in R

Implement K-means clustering algorithm in R programming language. Learn data preprocessing, algorithm application, and result interpretation for effective data analysis.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

R Programming 101

Manipulating Date and Time Data in R with Lubridate

Master date and time manipulation in R using lubridate package, featuring intuitive functions for parsing, extracting, and working with temporal data in the tidyverse ecosystem.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

R Programming 101

Multiple Regression Analysis - From Simple Linear to Complex Models

Master multiple regression analysis in R, covering variable selection, confounding, collinearity, outliers, interactions, and assumption validation for robust statistical modeling.

• YouTube
• 2 hours 19 minutes
• Self-Paced
• Free Video