R Programming Interm

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R Programming - Intermediate

taught by Olivia Lau

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.

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 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.



You should have at least 1 year's worth of daily experience with R, whether via courses or work experience.  If you are new to R, you should start with R Programming Intro 1.

Organization of the Course:

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirement:
About 15 hours per week, at times of  your choosing.

Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course,  CEU's and a record of course completion will be issued by The Institute, upon request.
R Programming - Intermediate has been evaluated by the American Council on Education (ACE) and is recommended for the upper-division baccalaureate degree category, 3 semester hours in computer science, information systems, statistics. Note: The decision to accept specific credit recommendations is up to each institution. More info here.
This course is also recognized by the Institute for Operations Research and the Management Sciences (INFORMS) as helpful preparation for the Certified Analytics Professional (CAP®) exam, and can help CAP®analysts accrue Professional Development Units to maintain their certification .

Course Text:

The course text is R Cookbook (O'Reilly Cookbooks). 

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.


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).

R Programming - Intermediate

March 31, 2017 to April 28, 2017September 22, 2017 to October 20, 2017March 30, 2018 to April 27, 2018September 21, 2018 to October 19, 2018

Course Fee: $589