Various online & other resources for learning and improving skills in the R programming language
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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 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).
A collection of data analytics learning resources that I've found helpful (I only post what I've read!)
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
30 Days R Challenge
This repository contains files and data related to courses of Machine Learning and Statistics.
30 Days R Challenge
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
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 is a repository for resources completed as part of the Duke University Statistics with R Specialization.
A repository having all my physics and math programs.
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
This is a simple R function that uses the `httr` library to translate text using the Google Translate API.
Sample Codes of Spark using R programming
Analysis of Food and Agriculture Data of Africa using Crop Processing Dataset and Crop Production Dataset.
Predicting user behaviour in a music streaming platform, NetEase Cloud Music (NCM), using machine learning and data analysis
A comprehensive analysis in R of weak signal propagation within the WSPR network, focusing on the impact of distance, frequency, and power on signal-to-noise ratios. The project includes data cleaning, statistical analysis, and linear regression modeling to predict signal reception quality and understand the factors influencing signal propagation.
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