返回到 Introduction to R Programming for Data Science
学生对 IBM 提供的 Introduction to R Programming for Data Science 的评价和反馈
602 个评分
课程概述
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 implement fundamental programming tasks.
You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language.
The emphasis in this course is 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 acquire and analyze data-driven insights.
No prior knowledge of R, or programming is required.
热门审阅
LR
Oct 5, 2023
I really enjoy the content. It is clear, organized and good quality. My only problem was related with the platform.
AS
Jan 7, 2023
Could be better micromanaged for coaxing beginners but it does pack enough practical exercises to familiarize them with R fundamentals.
筛选依据：
126 - Introduction to R Programming for Data Science 的 129 个评论（共 129 个）
创建者 Héctor R
•Sep 25, 2024
hay que complementar con estudios previos o por fuera de la plataforma coursera para poder realizar las tareas.
创建者 Zoe M
•Aug 20, 2022
Jumps around a lot, doesn't give all information needed to complete the final assignment.
创建者 Karin A
•Mar 4, 2023
El laboratorio tenía muchas fallas, faltó dar a entenderse mejor.