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
Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a... more
This course assumes that you are comfortable with Microsoft Excel, but you do not need training in statistics. If you wish to receive a verified certificate, you must download the free SIPmath™ M... more
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to... more
If you have specific questions about this course, please contact us at sds-mm@mit.edu. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning,... more
Este curso se orienta a la formación de profesionales en Inteligencia Empresarial mediante el aprendizaje de la plataforma Tableau, instrumento líder del sector. Tableau permite ayudar a las que p... more
Powered by
