Data Science: R Basics
list 4 séquences
assignment Niveau : Introductif
label Informatique & Programmation
chat_bubble_outline Langue : Anglais
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Les infos clés

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En résumé

In this first course of eight in the HarvardX Data Science series, we learn the basic building blocks of R. The series will cover data wrangling with dplyr, visualization with ggplot2, probability, inference, regression and machine learning.

The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The HarvardX Data Science Series prepares you with the necessary knowledge base and skills to tackle real-world data analysis challenges. The series covers concepts such as probability, inference, regression and machine learning and helps you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. In the R Basics course, we learn the basic building blocks of R. As done in all our courses, we use motivating case studies, we ask specific questions, and learn by answering these through data analysis. Our assessments use code checking technology that will permit you to get hands-on practice during the courses.

Throughout the series, we will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously. In this course, we will introduce the necessary basic R syntax to get you going. However, rather than cover every R skill you need, we introduce just enough so you can continue learning in the next courses, which will provide more in depth coverage. We believe that you can better retain R knowledge when you learn it to solve a specific problem. The motivating question in this course relates to crime in the United States and we provide a relevant dataset. You will learn some basic R skills to permit us to answer specific questions about differences across the different states.

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Le programme

What you'll learn :

  • Introduction to basic R syntax
  • Basic R programming concepts such as data types, vectors arithmetic, and indexing
  • How to perform operations in R including sorting, creating or importing data frame creation, basic data wrangling using dplyr and making plots
  • How to perform basic programming with R

Les intervenants

Rafael Irizarry
Professor of Biostatistics
Harvard University


Le concepteur

Harvard University

La plateforme

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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