R for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning techniques. You can build skills in exploratory data analysis, hypothesis testing, and predictive modeling. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support creating visual representations of data and performing complex data transformations. By engaging with these tools and methods, you can effectively analyze datasets and derive meaningful insights.

Skills you'll gain: Box Plots, Data Science, Histogram, Data Presentation, Statistical Analysis, Statistical Methods, Statistical Visualization, Data Preprocessing, Descriptive Statistics, Probability & Statistics, Data Analysis, Data Visualization Software, Data-Driven Decision-Making, Bayesian Statistics, Applied Machine Learning, Scatter Plots, Scripting, Python Programming, Data Processing, Machine Learning Algorithms
ā 4.7 (15) Ā· Mixed Ā· Course Ā· 1 - 4 Weeks

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
ā 4.9 (10) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization Software, Statistical Visualization, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software, Graphic and Visual Design
ā 4.9 (133) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Data Integration, R (Software), R Programming, Exploratory Data Analysis, Statistical Programming
ā 5 (15) Ā· Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Data Analysis, Model Evaluation, Statistical Programming
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Machine Learning
ā 4.5 (33) Ā· Intermediate Ā· Guided Project Ā· Less Than 2 Hours
Duke University
Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms
ā 4.9 (13) Ā· Beginner Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Wrangling, Data Integration, Data Manipulation, JSON, Data Transformation, Relational Databases, R (Software), Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Structures, File I/O, Application Programming Interface (API)
ā 4.7 (51) Ā· Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Plot (Graphics), Statistical Visualization, R (Software), R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training, Applied Machine Learning
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export, Data Analysis
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Fraud detection, Marketing Analytics, Data-Driven Marketing, Predictive Modeling, People Analytics, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Marketing Strategies, Job Analysis, Predictive Analytics, Analytics, R Programming, Credit Risk, R (Software), Applied Machine Learning
ā 4.6 (15) Ā· Beginner Ā· Specialization Ā· 1 - 3 Months

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Data Visualization Software, Model Deployment, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Machine Learning
Intermediate Ā· Guided Project Ā· Less Than 2 Hours