Various online & other resources for learning and improving skills in the R programming language
-
Updated
Jun 5, 2023
Various online & other resources for learning and improving skills in the R programming language
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.
A collection of data analytics learning resources that I've found helpful (I only post what I've read!)
A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
A repository for materials related to the “Workshop on Quantitative Approach in Linguistics” (14-15 July 2025) as part of the International Congress of the Linguistic Society of Indonesia 2025 (16-18 July 2025).
30 Days R Challenge
This is a repository for resources completed as part of the Duke University Statistics with R Specialization.
A template for reproducible R analysis projects
This repository contains files and data related to courses of Machine Learning and Statistics.
30 Days R Challenge
A repository having all my physics and math programs.
I learnt from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
This repository documents how data from three different publicly available databases (FIA DataMart, Climatology Lab, and USFS Insect & Disease Detection Survey) can be combined into one easily understandable data frame.
Visualise avaocado sale across US by R Shiny
This is a simple R function that uses the `httr` library to translate text using the Google Translate API.
CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment. The project demonstrates proficiency in modeling complex biological signals and estimating parameter uncertainty using Approximate Bayesian Computation
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
Sample Codes of Spark using R programming
Add a description, image, and links to the r-programming-language topic page so that developers can more easily learn about it.
To associate your repository with the r-programming-language topic, visit your repo's landing page and select "manage topics."