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Results for "tidyverse+(r+package)"
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
- Status: Free
Universidad Nacional Autónoma de México
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Visualization, Data Science, Visualization (Computer Graphics), Data Processing, Graphing, Data Import/Export, Scripting, Software Installation
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Statistical Visualization, Tidyverse (R Package), Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Integrated Development Environments, Data Import/Export
Johns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Program Development, Software Installation, Computer Programming, Data Structures, Performance Tuning, Data Import/Export
Imperial College London
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Biostatistics, Time Series Analysis and Forecasting, Probability Distribution, Predictive Modeling
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
Imperial College London
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Data Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Data Manipulation, Statistical Hypothesis Testing
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Structures, Data Import/Export, Exploratory Data Analysis, Computer Programming, Integrated Development Environments, Development Environment
Imperial College London
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Biostatistics, R Programming, Statistical Programming, Statistical Tests, Epidemiology, Regression
Johns Hopkins University
Skills you'll gain: Computer Programming, Data Analysis, Data Management, Databases, Exploratory Data Analysis, Extract, Transform, Load, R Programming, Statistical Programming, Data Structures
Imperial College London
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Probability & Statistics, Biostatistics, Scatter Plots
In summary, here are 10 of our most popular tidyverse+(r+package) courses
- Data Science: Foundations using R: Johns Hopkins University
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
- Data Analysis with R Programming: Google
- R Programming: Johns Hopkins University
- Statistical Analysis with R for Public Health: Imperial College London
- Introduction to Probability and Data with R: Duke University
- SQL for Data Science with R: IBM
- Logistic Regression in R for Public Health: Imperial College London
- Introduction to R Programming for Data Science: IBM
- Survival Analysis in R for Public Health: Imperial College London