R for Data Science I: R Programming and Efficient Data Management

Introduction

Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy.  R (along with Python) has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.

From government and universities to new start-ups and big tech like Google or Microsoft, the use of R big data and data science has become a standard tool.  R is a simple and powerful language, but, it can be slow and inefficient if not used properly. This class introduces you to the foundations of R programming, but also focuses on the efficiency of data processing.

This course will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data analysis including dplyr and data.table.  The course methodology is designed under the “learning by doing” maxima. The student will learn the language and applications through examples and practice.  No prior programming skills are required.

Course Modules

  • Module 1: Introduction and History of R
  • Module 2: Configuration and Installation of R
  • Module 3: Fundamental Data Types
  • Module 4: Conditional Operators and Clauses
  • Module 5: Loops and Functions
  • Module 6: Efficient Manipulation of Data Frames
  • Module 7: Best Practices for R Programming

Course Formats and Pricing – R for Data Science I: R Programming and Efficient Data Management

None at this time

Class will be held each day from 8:30 – 4:00 at the location provided above.

You can also register for classes using our registration form.

Aleeta Zeller
Aleeta ZellerChattanooga RPA
Class was well organized, well paced and I learned a lot
Michael Philp
Michael PhilpCity of Springville, UT
"Really good course material. Very relevant subject matter." --Michael Philp (City of Springville, UT)
Matt Gubitosa
Matt GubitosaU.S. EPA
"I strongly and highly recommend it" -- Matt Gubitosa, U.S. EPA
Kyle Lockhart
Kyle LockhartEscambia County, FL
"I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the informationeasy to understand."  -- Kyle Lockhart (Escambia County, FL)
Chris Hickin
Chris HickinNYC Fire Dept
"These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!" -- Chris Hickin (NYC Fire Dept.)
Pal Herman Sund
Pal Herman Sund
"I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!" - Pal Herman Sund
Joseph Monti
Joseph Monti
Definitely got me "over the hump" of being able to grasp Python.
Chris Pollard
Chris PollardDelaware Valley Regional Planning Commission
"Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills." -- Chris Pollard (Delaware Valley Regional Planning Commission)
Brandon Clark
Brandon ClarkAlabama Power
Knowledgeable instructor, well paced class, applicable information covered, hands-on style
Jason Warzinik
Jason WarzinikBoone County, MO
"I have attended a number of instructor lead  training courses offered by ESRI, which are great in their own right, but the Mastering the ArcGIS Server JavaScript API course gets much more in-depth than they often do.  I really liked the recommended reading, they helped expand the terms being covered in lecture to concrete examples that could be related back to my work more directly instead of just having the lecture and exercises alone.  I learned a lot andwill recommend this and other GeoSpatial Training courses to the GIS'ers I know. Thanks for putting this course together and offering it ...

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