R Immersion for Data Science
Corporate Rate: $500/Attendee
Student Rate: $200/Attendee
Cost
Program Length
3 Days
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:
Gain a basic understanding of R programming language.
Acquire essential skills for data collection, preparation, and analysis in R.
Master looping and advanced looping techniques for efficient data processing.
Develop proficiency in debugging to troubleshoot and enhance your R code.
Explore data visualization capabilities in R for effective communication of insights.
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.
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.