Skip to main content

A.데이터사이언스10-Programming in R for Data Science(고급)

About This Course

In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

n this course you will learn all you need to get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs. Plus, find out how to perform predictive analytics using R and how to create visualizations using the popular ggplot2 package.


Introduction to R for Data Science will help.

What you'll learn

  • Explore R language fundamentals, including basic syntax, variables, and types
  • How to create functions and use control flow.
  • Details on reading and writing data in R
  • Work with data in R
  • Create and customize visualizations using ggplot2
  • Perform predictive analytics using R

Course Syllabus

Section 1: Introduction

Section 2: Functions

Section 3: Control flow and Loops

Section 4: Working with Vectors and Matrices

Section 5: Reading in Data

Section 6: Writing Data

Section 7: Reading from SQL Server

Section 8: Working with Data

Section 9: Manipulating Data

Section 10: Simulation

Section 11: Linear model

Section 12: Graphics in R

Meet the instructors

Course Staff Image #1

Anders Stockmarr

Associate Professor
Technical University of Denmark

Anders is a statistician, and has been working with R and SPLUS in numerous projects within applied mathematics and statistics for two decades. He holds a PhD in Statistics and Probability from University of Copenhagen, and is currently an associate professor at the Technical University of Denmark.

Course Staff Image #2

Jonathan Sanito

Senior Content Developer


Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory.

Before coming to Microsoft, Jonathan worked as a consultant for a Microsoft partner, implementing Microsoft Dynamics NAV solutions.

키워드 : 데이터사이언스, 데이터 사이언스
  1. Course Number

  2. Classes Start

  3. Classes End

  4. Estimated Effort

    24-48 hours in total