R Programming - Introduction 1
Taught by Dr. Tal Galili

R Programming - Introduction 1

taught by Tal Galili

 

 
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Aim of Course:

In this online course, “R Programming Intro 1,” you will be introduced to basic concepts in computer programming via R - it is for those who have had little or no experience in programming.  You will learn how to get going in R from the beginning, understand file formats and basic R syntax, and learn about using text editors to write code.  You will learn how to read in files, use symbols and assignments, and iterate simple loops.  The course closes with discussion of data structures and subsetting.  Note:  Those with some familiarity with programming should probably start with R Programming Introduction 2.  After taking this course you should be able to

  • Install R
  • Read data files into R
  • Understand assignment operations
  • Create loops for iteration
  • Subset data
  • Apply functions 
Course Program:

WEEK 1: Getting Started with R

  • Installing, starting and stopping R
  • file operations and file formats
  • writing code and text editors
  • basic R syntax
  • reading files
  • symbols and assignment

WEEK 2: Loops

  • sequences
  • simple loops (iteration)

WEEK 3: Data Structures

  • data structures
  • subsetting
  • assigning to subsets

WEEK 4: Data Manipulation

  • apply Functions

R Programming - Introduction 1

Who Should Take This Course:
Those who want to start their study of programming in R, especially those with no prior programming experience.  If you do have some programming experience and want to learn R, you could consider starting directly with R Programming Intro 2.
Level:
Introductory
Prerequisite:
None
Organization of the Course:
Options for Credit and Recognition:

Specialization:
Specializations are an easy way for you to demonstrate mastery of a specific skill in statistics and analytics. This course is part of the R Programming Specialization which covers the basics of R Programming all the way to advanced techniques.

Course Text:
The course text is Introduction to Data Technologies by Paul Murrell. It may be purchased from the publisher Chapman and Hall/CRC Press. The text is also available online here in both PDF and HTML formats.
Software:

You must have a copy of R for the course. Click Here for information on obtaining a free copy, including installation instructions.  Installation will be covered in the first week of the course, but you should try installing R before the course starts, so that any issues you encounter can be addressed early.

Instructor(s):

Dates:

May 10, 2019 to June 07, 2019 September 06, 2019 to October 04, 2019 January 17, 2020 to February 14, 2020 May 29, 2020 to June 26, 2020 September 25, 2020 to October 23, 2020

R Programming - Introduction 1

Instructor(s):

Dates:
May 10, 2019 to June 07, 2019 September 06, 2019 to October 04, 2019 January 17, 2020 to February 14, 2020 May 29, 2020 to June 26, 2020 September 25, 2020 to October 23, 2020

Course Fee: $549

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

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