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.
🍽️ FoodClim: Simulating Food Yield Responses to Climate Change in NetLogo
A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.
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 is a repository for resources completed as part of the Duke University Statistics with R Specialization.
A template for reproducible R analysis projects
🧰 Utility Functions for NetLogo
This repository contains files and data related to courses of Machine Learning and Statistics.
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
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
🌎 Spatial Data Analysis Tools
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
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