Breadcrumb
  1. Training
  2. Education & Training Catalog
  3. IT Dojo, Inc.
  4. R Programming Essentials for Data Science & Analytics (TTDS6683)

R Programming Essentials for Data Science & Analytics (TTDS6683)

Introduction to R Programming for Data Science & Analytics is a hands-on course that presents common scenarios encountered in analysis and present practical solutions. This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on R and related tools. Working in a hands-on learning environment, led by our expert practitioner, you’ll learn R and its ecosystem, and where it’s a better a tool than Excel.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
TTDS6683
Course Prerequisites

This course, geared for Data Analysts and Data Scientists who need to learn the essentials of how to program in R. Students should have intermediate-level experience in their field, and prior experience working with programming languages.

Training Purpose
Skill Development
Specific Audience
Academia
Contractor
Federal Employee
Delivery Method
Classroom
Online, Instructor-Led
Course Location

4176 S Plaza Trail
Suite 207
Virginia Beach, VA 23452

Course Location Map
  • Your Location
  • Providers
  • Courses
  • Course and Provider Quantity
  • Classroom
  • Online, Instructor-Led

Learning Objectives

This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on R and related tools. Working in a hands-on learning environment, led by our expert practitioner, you’ll explore R and its ecosystem, and where it’s a better a tool than Excel. This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current “on-the-job” experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore: Data Science essentials R programming Essentials Variables and Types, Loops, R Scalars, Vectors, and Matrices String and Text Manipulation, List & Functions Data Frames and File I/O Reading data from files and data prep Visualization Exploration With Dplyr Statistical Modeling With R Data Exploration Regressions R and Big Data

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

Last Published Date: