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Avis et commentaires pour d'étudiants pour Advanced R Programming par Université Johns-Hopkins

4.3
étoiles
442 évaluations
107 avis

À propos du cours

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team....

Meilleurs avis

FZ

Jun 07, 2017

Very useful, I considered myself quite an advanced R user, but this class raised the level, especially with the R as OOB part. Good investment if you are not a beginner.

JY

May 08, 2017

It is a good course that forced me to understand the s3 and s4 object of R and have gained an appreciation of "methods belonging to functions not belonging to objects".

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101 - 103 sur 103 Avis pour Advanced R Programming

par Maurizio C

Oct 12, 2017

Great gap between teaching and what is required to pass the course. Unnecessarily difficult.

The didactic material is not compelling.

Not recommended.

par John E

Jan 07, 2018

What is the point of this course? Without any lectures, I'm not getting anything other than I could from just buying a book. I'm out.

par David R

Feb 03, 2019

Swirl is confusing and it is too complicated to submit my work