Introduction to R Programming for Data Science - Coursera
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to …
Data Science: Foundations using R | Coursera
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research.
R for Data Science Courses Online
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
R Programming | Coursera
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
Data Analysis and Visualization using R and RStudio - Coursera
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors. Describe the options for generating visualizations in R. Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
Applied Data Science with R Specialization - Coursera
Perform basic R programming tasks like working with data structures, data manipulation, using APIs, webscraping, and using R Studio and Jupyter. Create relational databases and tables, load them with data from CSV files, and query data using SQL and R using JupyterLab.
R Programming for Statistics and Data Science - Coursera
In this module, we will explore the foundational steps needed to begin using R and RStudio for statistical analysis and data science. You’ll learn how to install and configure the necessary software, get familiar with the RStudio interface, and modify its …
Data Science with R | Coursera
Master the essentials of data science with the Data Science with R Specialization. Designed for beginners and professionals, this series provides the foundational skills to transform, visualize, and ethically analyze data with the R programming language.
What Is R Programming? Use Cases and FAQ - Coursera
Jan 13, 2025 · What is R programming used for? The R language is most commonly used for data analysis and statistical computing. It’s also an effective tool for machine learning algorithms. R is especially relevant for data science professionals due to its data cleaning, importing, and visualization capabilities.
Foundations of R Programming and Basic Data Manipulation
The R programming section covers operators, loops, and functions, enabling you to write clean, modular code. Advanced topics include data import/export, web scraping, and sophisticated data manipulation techniques using piping, filtering, aggregation, reshaping, and joining datasets.