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R Immersion for Data Science

The Immersion in R for Data Science, is a 3-day intensive R training program for beginner to intermediate users designed to provide attendees with a comprehensive toolkit for applying R to business intelligence data solutions. R is a language widely used by statisticians and data miners for developing strategic data analysis programs.

Corporate Rate: $500/Attendee
Student Rate: $200/Attendee

Cost
Program Length

3 Days

Upcoming Session

Scheduled by Demand

Join the Waitlist to be notified.

9:00AM - 5:00 PM

(Central Time Zone)

365 Fogelman Drive, Room TBD Memphis, TN 38152-3115

FedEx Institute of Technology



Course Overview

Day 1: Mastering R Fundamentals

  • Introduction to R and R Studio: Start your journey by familiarizing yourself with R and R Studio. Understand the essential components and the environment for R programming.

  • Data Collection and Preparation: Dive into data handling in R. Learn efficient techniques for collecting and preparing data, ensuring it is ready for analysis.

  • Looping and Advanced Looping in R: Grasp the fundamentals of looping and advance your skills in R programming. Understand how to use loops for efficient data processing.

  • Debugging: Learn effective debugging strategies to identify and resolve issues in your R code. Develop the skills to troubleshoot common problems in programming.

Day 2: Data Visualization and Web Scraping

  • Data Visualization in R: Explore the power of R in creating compelling visualizations. Learn to represent data graphically for better understanding and interpretation.

  • Web Scraping: Delve into web scraping techniques using R. Acquire skills to extract valuable data from websites, expanding your capabilities in data collection.

Day 3: Review, Assessment, and Final Discussions

  • Review: Consolidate your knowledge from the previous days. Revisit key concepts and reinforce your understanding of R programming.

  • Assessment: Evaluate your progress through assessments designed to gauge your proficiency in R. Receive constructive feedback to enhance your skills further.

  • Final Discussions and Feedback: Engage in comprehensive discussions, share insights, and receive feedback. Wrap up the course with a thorough understanding of R programming basics and readiness for advanced training.


Course Objectives

This intensive three-day course aims to equip participants with a solid foundation in the R programming language. By the end of the training, you will:

  1. Gain a basic understanding of R programming language.

  2. Acquire essential skills for data collection, preparation, and analysis in R.

  3. Master looping and advanced looping techniques for efficient data processing.

  4. Develop proficiency in debugging to troubleshoot and enhance your R code.

  5. Explore data visualization capabilities in R for effective communication of insights.

  6. Extend your skills to web scraping, enabling you to collect data from diverse online sources.


Prepare for Advanced R Training:

This course serves as a stepping stone for the Advanced R training. Build a strong foundation and propel your R programming journey forward. Enroll now for an immersive learning experience that combines theory, hands-on exercises, and practical applications in the realm of R programming.

Be the first to know when registration opens by joining our exclusive Training Notification List.

  • Early Access: Get priority access.

  • Stay Informed: Receive details about new sessions.

  • Limited Spots: Ensure you secure your spot.

No Upcoming Session?

For cancellation notices received more than fifteen business days prior to the class date, students may receive either a full refund or reschedule into another class date. 

For cancellation notice less than fifteen business days prior to the class start date, students will receive an voucher in the amount of the paid tuition to use for the same course up to a six months’ time frame and will be automatically put onto the wait list of the course of their choice and granted final admission ten business days prior to class start day based on enrollment levels.

Cancellation Policy
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