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.
Ce cours fait partie de la Spécialisation Mastering Software Development in R
Advanced R Programming
Offert par
À propos de ce cours
Résultats de carrière des étudiants
30%
29%
Compétences que vous acquerrez
Résultats de carrière des étudiants
30%
29%
100 % en ligne
Cours 2 sur 5 dans le
Dates limites flexibles
Niveau intermédiaire
Approx. 12 heures pour terminer
Anglais
Offert par
Université Johns-Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programme du cours : ce que vous apprendrez dans ce cours
Welcome to Advanced R Programming
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.
Functions
This module begins with control structures in R for controlling the logical flow of an R program. We then move on to functions, their role in R programming, and some guidelines for writing good functions.
Functions: Lesson Choices
Functional Programming
Functional programming is a key aspect of R and is one of R's differentiating factors as a data analysis language. Understanding the concepts of functional programming will help you to become a better data science software developer. In addition, we cover error and exception handling in R for writing robust code.
Functional Programming: Lesson Choices
Debugging and Profiling
Debugging tools are useful for analyzing your code when it exhibits unexpected behavior. We go through the various debugging tools in R and how they can be used to identify problems in code. Profiling tools allow you to see where your code spends its time and to optimize your code for maximum efficiency.
Object-Oriented Programming
Object oriented programming allows you to define custom data types or classes and a set of functions for handling that data type in a way that you define. R has a three different methods for implementing object oriented programming and we will cover them in this section.
Avis
4.3
Meilleurs avis pour ADVANCED R PROGRAMMING
Brilliant course. Loved Week 4 for OOP. This was really new for me and would love to have been able to see its application in real world examples to better cement the concepts.
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.
Great course! I gained a more in depth understanding of R and it's underlying structure. I did think there could more explanation given to object oriented programming R.
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".
Excellent subject matter. 4 stars instead of 5 is only because there was no video. I love the videos in the other courses in this track, since I am an auditory learner.
the last peer review problem is much too hard for what I learned from the course material, if there is a more specific instruction for the assignment will be better.
For me the course provided a quick and easy introduction to the 'purr' package as well as clarity on the current state of R's object oriented programming system.
I have learned a lot . All the courses are neat and precise. It helps me a lot. The materials and the questions are detailed .\n\nThank you for your dedication.
The last problem is unnecessarily difficult with little related teaching and learning material provided. Otherwise, the course is certainly well worth taking.
this is a must for those who want to improve their programming skills in R. As an advanced course, this is a little bit harder, but don`t give up!
The final homework assignment is tough if you are a newcomer to R. It is sink or swim time. Worth it if you can get through it.
Awesome course! Learned a lot! It is mandatory if you would like to become an experienced R user, not just programmer!
More advanced, challenging course. Still, enjoyable and enlightening. Mentoring on this course is really helpful too!
Good course, nothing much to say, definitely teaches the use of R, not quite sure it is "advanced" but I guess...
This course helped me to figure out what additional skills I need to work on to improve my R coding skills.
Good Course! But focus should be more on OOPs Concepts through video lectures to better understand it.
Amazing course. Smooth learning experience yet with increasing difficulty. Challenging and addictive.
The course has given me good insight into the functional and object oriented programming parts of R.
a little challenging but good for people who want to work on programming from the beginning
Great course. Challenging and I learn a lot of new techniques to improve my R skills.
À propos du Spécialisation Mastering Software Development in R
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
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