What skills can I learn in R programming courses on Coursera?

R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis , statistical computing, and graphical representation, including: Fundamentals of R syntax and programming environment Data manipulation and cleaning techniques using R packages like dplyr and tidyr Statistical analysis and model building to interpret complex data sets Creating compelling visualizations with ggplot2 and other visualization tools Developing reproducible reports and interactive web apps with R Markdown and Shiny Applying R in various domains such as finance, healthcare, and academic research

Do I need prior experience in programming to enroll in these R courses?

Coursera’s R programming courses are designed to welcome learners at different levels of expertise: No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts. Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills. Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.

Do I need prior experience in programming to enroll in these R courses?

Coursera’s R programming courses are designed to welcome learners at different levels of expertise: No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts. Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills. Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.

What certifications and credentials can I earn by studying R programming on Coursera?

Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication: Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language. Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R. Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R.

How can I purchase R programming training courses for my team?

Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.

Top R Courses - Learn R Online

Explore the R Course Catalog

Johns Hopkins University
Advanced Reproducibility in Cancer Informatics
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Containerization, Bioinformatics, Health Informatics, Science and Research, Automation, Medical Science and Research, Technical Communication
Advanced · Course · 1 - 3 Months
Status: New
Coursera Project Network
Data Structures with C: Upgrade a Rocket Display Module
Skills you'll gain: Embedded Systems, C (Programming Language), Embedded Software, Data Structures, Program Development, Data Management, Data Storage Technologies
Intermediate · Guided Project · Less Than 2 Hours
Northeastern University
Data-Driven Systems: DBMS, SQL & Data Modeling
Skills you'll gain: Database Design, Database Theory, MongoDB, Database Development, Database Management Systems, Databases, Data Modeling, Database Architecture and Administration, NoSQL, Relational Databases, Unified Modeling Language, SQL, Data Integrity, Query Languages, Performance Tuning, Conceptual Design
Mixed · Course · 1 - 4 Weeks
Status: New
Packt
Zero to Hero: Master Java SpringBoot & JPA with Projects
Skills you'll gain: Spring Framework, GitHub, Git (Version Control System), Spring Boot, Version Control, Restful API, Object-Relational Mapping, Java Programming, Hibernate (Java), Java, Web Services, JUnit, Authentications, Postman API Platform, User Accounts, Secure Coding, API Design, JSON, Database Management Systems, Model View Controller
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Foundations of Probability and Random Variables
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
Intermediate · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
Quantitative Research Methods: Tools for Data Analysis
Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
Django (Python) Web Framework - The Comprehensive Guide
Skills you'll gain: Django (Web Framework), Object-Relational Mapping, Restful API, Bootstrap (Front-End Framework), Model View Controller, Application Deployment, Authentications, Web Development, User Accounts, Query Languages, Database Management, Authorization (Computing), Development Environment, Data Migration, User Interface (UI), Data Modeling
Intermediate · Course · 3 - 6 Months
University of Maryland, College Park
Cómo manejar datos faltantes
Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming
Mixed · Course · 1 - 3 Months
Sungkyunkwan University
Machine Learning for Smart Beta
Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Supervised Learning
Intermediate · Course · 1 - 4 Weeks
Illinois Tech
Public Engagement for Scientists
Skills you'll gain: Technical Communication, Oral Expression, Data Presentation, Data Ethics, Technical Writing, Report Writing, Persuasive Communication, Writing, Media and Communications, Graphic and Visual Design, Research Reports, Interpersonal Communications, Data Cleansing, Design Elements And Principles
Build toward a degree
Intermediate · Course · 1 - 3 Months
Status: New
Maven Analytics
Complete Visual Guide to Machine Learning
Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
لغة البرمجة C++ لمبرمجي اللغة C، الجزء (أ)
Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, C (Programming Language), Algorithms, Programming Principles, Data Structures, Secure Coding
Intermediate · Course · 1 - 3 Months