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Explore the R for Data Science Course Catalog
Skills you'll gain: Data Visualization Software, Data Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Graphing, Data Analysis, Data Wrangling, Data Manipulation, Data Import/Export, Regression Analysis, Software Installation, Package and Software Management
Status: Free TrialDuke University
Skills you'll gain: Data Ethics, Data Integrity, Data Collection, Responsible AI, Data Quality, Data Presentation, Data Science, Data Visualization Software, Ethical Standards And Conduct, Algorithms
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations
Coursera Project Network
Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel
Status: Free TrialSkills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science
Status: Free TrialJohns Hopkins University
Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation
Status: PreviewDuke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, R (Software), Probability Distribution, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics
Coursera Project Network
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Status: PreviewBall State University
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Processing, Sampling (Statistics), Data Science, Data Wrangling, R Programming, Simulations, Data Manipulation, Statistical Methods, Machine Learning Algorithms, Responsible AI, Data Structures
Status: FreeCoursera Project Network
Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine
R For Data Science learners also search
In summary, here are 10 of our most popular r for data science courses
- How to Visualize Data with R: Packt
- Data Science Ethics with R: Duke University
- Advanced Data Visualization with R: Johns Hopkins University
- Importing Data into R: Coursera Project Network
- Visualizing Data & Communicating Results in R with RStudio: Codio
- Modeling Data in the Tidyverse: Johns Hopkins University
- Data Visualization in R with ggplot2: Johns Hopkins University
- Clustering and Classification with Machine Learning in R: Packt
- R을 사용한 확률 및 데이터 소개: Duke University
- Using probability distributions for real world problems in R: Coursera Project Network
