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

Packt
REST APIs with Flask and Python in 2024
Skills you'll gain: Version Control, Git (Version Control System), Application Deployment, Restful API, Docker (Software), Database Management, Flask (Web Framework), Object-Relational Mapping, Application Programming Interface (API), JSON, Authentications, Web Development, Programming Principles, Python Programming, Back-End Web Development, Object Oriented Programming (OOP), Secure Coding, Data Structures
4.4
Rating, 4.4 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free
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, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Random Forest Algorithm
Beginner · Course · 1 - 3 Months
Status: New
Johns Hopkins University
Foundations of Probability and Random Variables
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
Intermediate · Course · 1 - 3 Months
Infosec
C++ Interacting with the World and Error Handling
Skills you'll gain: Application Security, System Programming, Secure Coding, C++ (Programming Language), C (Programming Language), Debugging, Embedded Systems, Interoperability, Programming Principles, Data Validation
2.8
Rating, 2.8 out of 5 stars
6 reviews
Mixed · Course · 1 - 4 Weeks
L&T EduTech
Design of CPS with ARM processor using Embedded C
Skills you'll gain: Embedded Systems, Embedded Software, Industrial Engineering, Computer Systems, Internet Of Things, C (Programming Language), Electronic Systems, Peripheral Devices, Wireless Networks, Computer Architecture, Cybersecurity, Cloud Computing, Computer Hardware, Real Time Data
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
Learn Spring Boot in 100 Steps - Beginner to Expert
Skills you'll gain: JUnit, Apache Maven, Spring Framework, Spring Boot, Restful API, Unit Testing, Hibernate (Java), Integration Testing, Gradle, Java, Object-Relational Mapping, Software Testing, Bootstrap (Front-End Framework), Database Management, UI Components, Web Applications, Application Programming Interface (API), Test Case, Software Development Tools, Testability
Intermediate · Specialization · 1 - 3 Months
Universidad Nacional Autónoma de México
MOOC X MOOC
Skills you'll gain: Course Development, Curriculum Development, Instructional Design, Content Development and Management, Key Performance Indicators (KPIs), Performance Measurement, Educational Materials
Beginner · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
Der Werkzeugkasten des Data Scientist
Skills you'll gain: Rmarkdown, Data Science, Version Control, Big Data, R Programming, Software Development Tools, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Development Environment, Technical Communication
Mixed · Course · 1 - 4 Weeks
Status: New
Simplilearn
Programming with C
Skills you'll gain: C (Programming Language), Data Structures, C++ (Programming Language), Computer Programming, Programming Principles, Data Management, System Programming, Data Storage, Algorithms
Beginner · Course · 1 - 4 Weeks
Status: New
Korea Advanced Institute of Science and Technology(KAIST)
Applied Math for Materials Science and Engineering
Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Differential Equations, Derivatives
Intermediate · Course · 1 - 4 Weeks
Status: New
Simplilearn
Programming with C#
Skills you'll gain: C# (Programming Language), Restful API, Object Oriented Programming (OOP), .NET Framework, C++ (Programming Language), ASP.NET, Object-Relational Mapping, Web Services, Application Development, Software Design Patterns, Database Management, Software Development
Beginner · Course · 1 - 4 Weeks
Status: New
Packt
Spring Boot Foundations
Skills you'll gain: Spring Boot, Spring Framework, Bootstrap (Front-End Framework), Restful API, UI Components, Web Applications, Java, Web Development, Hibernate (Java), Application Development, Model View Controller, Application Security, Object-Relational Mapping, Databases
Intermediate · Course · 1 - 4 Weeks