R Programming Basics for Data Science
About this Course
The R language plays a critical role in data analysis and a common programming language when working in the field of data science & analytics. This course will introduce you to R language fundamentals like data types, techniques for manipulation, and how to implement fundamental programming tasks. We’ll also cover common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language. This course emphasizes hands-on and practical learning. You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to produce data-driven insights. No prior knowledge of R, or programming is required.Created by: IBM
Level: Introductory
Related Online Courses
Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s ess... more
A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our... more
The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as t... more
In Data Literacy Foundations, you will learn how critical thinking is an essential data literacy skill in today’s data-driven world. You’ll begin by considering how you use data every day, dis... more
SQL (Structured Query Language) is the most commonly used language to communicate with databases and extract data for application development, reporting and analytics. It is ubiquitous for... more
Powered by
