R Programming - Intermediate

R Programming - Intermediate

taught by Hongcheng Li

 

 
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Aim of Course:

This online course, “R Programming Intermediate,” is intended for experienced data analysts looking to unlock the power of R.  It provides a systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code.  After completing the course, students should be able to manipulate data programmatically using R functions of their own design.  After completing this course you should be able to

  • Efficiently deal with different data types and structures
  • Recognize and code different types of loops
  • Create user-defined functions
  • Use functions to avoid loops
  • Properly apply lexical scoping

 

This course may be taken individually (one-off) or as part of a certificate program.
Course Program:

WEEK 1: Data

  • Quick review of R data types and data structures
  • Importing data
  • Recoding data


WEEK 2: Loops

  • Measuring and monitoring R’s performance
  • Different types of loops
  • Fast loops


WEEK 3: Functions

  • Creating user-defined functions
  • Proper lexical scoping


WEEK 4: Avoiding loops

  • Using user-defined functions to avoid loops

HOMEWORK:

Homework in this course consists of assigned readings, guided exercises in writing code, narrated slides, and supplemental readings available online.

R Programming - Intermediate

Who Should Take This Course:
Statistical analysts with at least one year of daily R use under their belts, who want to use R as a serious statistical computing tool.
Level:
Intermediate
Prerequisite:

Statistical analysts with at least one year of daily R use under their belts, who want to use R as a serious statistical computing tool.  In contrast with the detailed step-by-step approach in an introductory course, this more advanced course will use a more open and independent learning style, and students should expect to occasionally wrestle a bit with the concepts and be comfortable with a trial and error approach.

 If you are new to R, you should start with R Programming Intro 1.

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 The Art of R Programming: A Tour of Statistical Software Design, by Norman Matloff.

The following texts are not required for the course, but provide useful background and a handy reference once you are done. Each session will provide pointers to relevant material in the books.

Software:

Participants should be familiar with and have access to R. Click Here for information on obtaining a free copy.

The recommended R editor in this course is eMacs (while RStudio is used in other courses, it uses a different R engine, resulting in functionality discrepancies that can be distracting in class).

Instructor(s):

Dates:

September 20, 2019 to October 18, 2019 March 27, 2020 to April 24, 2020 September 18, 2020 to October 16, 2020 March 26, 2021 to April 23, 2021

R Programming - Intermediate

Instructor(s):

Dates:
September 20, 2019 to October 18, 2019 March 27, 2020 to April 24, 2020 September 18, 2020 to October 16, 2020 March 26, 2021 to April 23, 2021

Course Fee: $589

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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Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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