Introduction to R - Data Handling

September 13, 2013 to October 11, 2013 November 08, 2013 to December 06, 2013 March 07, 2014 to April 04, 2014 May 09, 2014 to June 06, 2014 August 01, 2014 to August 29, 2014

Introduction to R - Data Handling

taught by Tal Galilli

This course will provide a basic introduction to R, and its use in organizing and exploring data. The emphasis is on understanding and working with fundamental R data structures and we will introduce some basic R programming techniques. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, and summarize data using R; you will also have the proper foundation to build your programming skills in R and take advantage of the full power of R.

SESSION 1: Getting Started with R

• The R command line
• Function calls, symbols, and assignment
• Packages
• Getting help on R

SESSION 2: Data Structures and Subsetting

• Data Types and data structures
• Subsetting data
• Type coercion

SESSION 3: Import/Export and Data Manipulation

• Text files, XML, Spreadsheets, and binary files
• Large data sets
• Tabulating and aggregating

SESSION 4: Advanced Data Manipulation

• Merging, Splitting and Reshaping
• Text Processing
• Data Formatting

HOMEWORK:

Homework in this course consists of guided exercises in writing code.

Introduction to R - Data Handling

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. Those registering for multiple courses, Statistics.com's PASS students, and those affiliated with other academic institutions may be entitled to tuition discounts; read more.

Register

Introduction to R - Data Handling

taught by Tal Galilli

Anyone who wants to wants to learn the fundamentals of data handling and begin their study of programming in R.

introductory/intermediate

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.

The course typically requires 15 hours per week. 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.

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, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

You must have a copy of R for the course. Click Here for information on obtaining a free copy, including installation instructions.

Note:  If you are completely unfamiliar with R, it is especially important that you take this step before starting the course - both to be prepared, and to gain some insight into the nature of R.