r-programming-language

A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.

visualization clustering linear-regression data-transformation data-collection association-rules powerbi r-programming-language r-programming-for-beginners

UpdatedOct 24, 2025
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lbarqueira /Data-Analytics-Learning-Resources

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A collection of data analytics learning resources that I've found helpful (I only post what I've read!)

data-science data machine-learning analytics exploratory-data-analysis data-visualization data-analytics data-analysis predictive-analytics quarto r-programming-language

UpdatedMar 30, 2023

Pegah-Ardehkhani /R-Tutorial

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A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming

list r string vector matrix data-frame character learn-to-code numbers r-programming tutorial-code r-tutorial r-programming-language

UpdatedOct 2, 2024
Jupyter Notebook

Plant-Food-Research-Open /r-pipeline-development-workshop

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Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.

statistics h2o tidyverse r-language bayesian-inference stan brms causal-inference r-programming statistical-models h2oai causal-models r-stats h2o-automl tidymodeling cmdstan tidymodels cmdstanr r-programming-language tidymodel

UpdatedNov 5, 2025
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mattpinkerton /Duke_Statistics_With_R

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This is a repository for resources completed as part of the Duke University Statistics with R Specialization.

data ggplot2 r statistics dplyr linear-regression probability tidyverse coursera rmarkdown statistical-inference bayesian-statistics r-programming duke-university capstone-project coursera-specialization r-programming-language

UpdatedFeb 20, 2022
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akpanitorobong /Statistical_Methods_for_Data_Science-Neuromarketing_Brain_Response-7089CEM

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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

data-science bayesian-inference approximate-bayesian-computation statistical-modeling nonlinear-regression r-programming-language neuromarketing meg-data-analysis

UpdatedApr 19, 2025
Jupyter Notebook

sebrauschert /reproducibility-template-R

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A template for reproducible R analysis projects

binder reproducibility r-programming-language

UpdatedSep 4, 2023
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msatmod /R

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30 Days R Challenge

data-science r data-engineering data-analysis r-language r-programming-language ameythakur amey

UpdatedMar 13, 2024
Jupyter Notebook

hassothea /MLcourses

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This repository contains files and data related to courses of Machine Learning and Statistics.

python machine-learning statistics r-programming-language

UpdatedAug 3, 2024
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carpentries-incubator /better-research-software-r

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Building Better Research Software R

beta english lesson r-language r-programming r-lang carpentries-incubator environment-management r-programming-language code-readability

UpdatedNov 4, 2025
R

Amey-Thakur /R

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30 Days R Challenge

data-science r data-engineering data-analysis r-language r-programming-language ameythakur amey megasatish

UpdatedMar 13, 2024
Jupyter Notebook

AnalystHub-Hub /Google-Data-Analytics-Professional-Certificate

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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.

excel data-visualization data-visualisation data-analytics data-exploration google-cloud-platform data-cleaning google-data-studio r-programming-language capstone-projects

UpdatedMar 8, 2023
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Denise-R /FIA_Midwest_Weather_Data

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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.

arcgis data-wrangling large-dataset r-programming-language