The R Programming Environment
link Source : www.coursera.org
list 4 séquences
assignment Niveau : Intermédiaire
chat_bubble_outline Langue : Anglais
card_giftcard 1 point
Logo My Mooc Business

Leurs employés se forment au quotidien avec Edflex

En savoir plus
Avis de la communauté
-
starstarstarstarstar
Voir l'avis

Les infos clés

credit_card Formation gratuite
verified_user Certification payante

En résumé

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.

more_horiz Lire plus
more_horiz Lire moins
dns

Le programme

  • Week 1 - Basic R Language
    In this module, you'll learn the basics of R, including syntax, some tidy data principles and processes, and how to read data into R.
  • Week 2 - Data Manipulation
    During this module, you'll learn to summarize, filter, merge, and otherwise manipulate data in R, including working through the challenges of dates and times.
  • Week 3 - Text Processing, Regular Expression, & Physical Memory
    During this module, you'll learn to use R tools and packages to deal with text and regular expressions. You'll also learn how to manage and get the most from your computer's physical memory when working in R.
  • Week 4 - Large Datasets
    In this final module, you'll learn how to overcome the challenges of working with large datasets both in memory and out as well as how to diagnose problems and find help.
record_voice_over

Les intervenants

Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

Brooke Anderson
Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

store

Le concepteur

Johns Hopkins University
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.
assistant

La plateforme

Coursera

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

Vous êtes le concepteur de ce MOOC ?
Quelle note donnez-vous à cette ressource ?
Contenu
5/5
Plateforme
5/5
Animation
5/5