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

Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Bases y primeros pasos en R
Skills you'll gain: Data Import/Export, Scripting, R Programming, Data Processing, Statistical Programming, Data Structures
Beginner · Guided Project · Less Than 2 Hours
Duke University
Introductory C Programming
Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Data Import/Export
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Specialization · 3 - 6 Months
Packt
Regression Analysis for Statistics & Machine Learning in R
Skills you'll gain: Regression Analysis, Data Cleansing, R Programming, Data Manipulation, Statistical Analysis, Classification And Regression Tree (CART), Random Forest Algorithm, Data Transformation, Statistical Modeling, Exploratory Data Analysis, Feature Engineering, Predictive Modeling, Dimensionality Reduction, Machine Learning
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Intellectual Property Law
Skills you'll gain: Intellectual Property, Legal Strategy, Brand Awareness, Brand Management, Asset Protection, Regulation and Legal Compliance, Packaging and Labeling, Business Strategy, Law, Regulation, and Compliance, Innovation, Business Valuation, Creativity, Legal Risk, Lawsuits, Musical Composition, Legal Research, Registration, Commercial Laws, Case Law, Economics
4.8
Rating, 4.8 out of 5 stars
1.5K reviews
Intermediate · Specialization · 3 - 6 Months
ESSEC Business School
Strategic Business Analytics
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Business Marketing, Advanced Analytics, Marketing Strategies, Statistical Analysis, Complex Problem Solving, Analytics, Business Analysis, Data Synthesis, Data Analysis, Data Storytelling
4.4
Rating, 4.4 out of 5 stars
1.3K reviews
Advanced · Specialization · 3 - 6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination
4.4
Rating, 4.4 out of 5 stars
761 reviews
Advanced · Specialization · 3 - 6 Months
PwC
Data-driven Decision Making
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Data Literacy, Big Data, Data Storytelling, Statistical Analysis, Microsoft Excel, Data Visualization Software, R Programming
4.6
Rating, 4.6 out of 5 stars
6.1K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
National Taiwan University
Operations Research (1): Models and Applications
Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Business Modeling, Business Operations, Business Analytics, Production Planning, Inventory Management System, Microsoft Excel, Scheduling, Linear Algebra, Decision Making
4.8
Rating, 4.8 out of 5 stars
541 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Getting and Cleaning Data
Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)
4.5
Rating, 4.5 out of 5 stars
8.1K reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Linear Regression and Modeling
Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Predictive Modeling
4.8
Rating, 4.8 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 4 Weeks