R for Data Science Courses
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.
Popular R for Data Science Courses and Certifications
Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing, Logistic Regression
University of Colorado Boulder
Skills you'll gain: Data Security, Cybersecurity, Cyber Attacks, Data Ethics, Computer Security, Authentications, Cryptography, Cyber Security Policies, Information Assurance, Authorization (Computing), Security Software, Security Controls, Cyber Security Assessment, Information Privacy, Encryption, Data Access, Security Awareness, Risk Analysis, Problem Solving, Communication
Johns Hopkins University
Skills you'll gain: Bioinformatics, R (Software), Data Analysis Software, Big Data, R Programming, Statistical Programming, Statistical Software, Statistical Analysis, Data Preprocessing, Data Processing, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Data Access
28DIGITAL
Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Applied Machine Learning, Machine Learning Methods, Data Analysis, Risking, Data Ethics, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)
University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms
University of Colorado Boulder
Skills you'll gain: Data Ethics, Data Visualization, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, Technical Communication, Cybersecurity, Healthcare Ethics, Cyber Attacks, Usability, Statistical Reporting, Computer Security, Data Storytelling, Ethical Standards And Conduct, Medical Science and Research, Information Privacy, Analysis
Google Cloud
Skills you'll gain: Looker (Software), SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Dashboard Creation, Data Analysis, Data Visualization Software, Data Processing, Google Sheets, Query Languages, Google Cloud Platform, Data Import/Export, Data Integrity
Ball State University
Skills you'll gain: Statistical Methods, Probability & Statistics, Probability, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, R (Software), Simulations, Statistical Visualization
University of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Visualization (Computer Graphics), Program Development, Applied Mathematics, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving
Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Dashboard, Dashboard Creation, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Marketing Analytics, Data Wrangling, Exploratory Data Analysis, Data Manipulation, Statistical Analysis, Analysis, SQL, Query Languages
Status: BestsellerSkills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Data Literacy, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL, Query Languages
Status: Job SkillsGoogle
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, Google Sheets, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills
In summary, here are 10 of our most popular r for data science courses
- Statistics for Genomic Data Science: Johns Hopkins University
- Cybersecurity for Data Science: University of Colorado Boulder
- Bioconductor for Genomic Data Science: Johns Hopkins University
- Data Science for Business Innovation: 28DIGITAL
- Introduction to Discrete Mathematics for Computer Science: University of California San Diego
- Vital Skills for Data Science: University of Colorado Boulder
- BigQuery for Data Analysts: Google Cloud
- Statistical Methods for Data Science: Ball State University
- Introduction to Computer Science and Programming: University of London
- Data Analysis with Spreadsheets and SQL: Meta
