[R for R] Building the basics of R

R data analysis, easy and robust!
Join us in the [Tell R] series.

■ Instructor Introduction

I majored in business analytics for my master's degree at UNIST and started my career in data analysis. I started working in the data analysis team from the beginning of my career. Currently, I am not only giving lectures at companies and schools, but also continuously doing outsourcing work related to data analysis.

Corporate Lectures🗃: Samsung Group, Shinhan Group, Hana Financial Group, SK Group, LG Electronics, GS Caltex, S-Oil, and many others.
School lectures🏛: Sookmyung Women's University, Sungkyunkwan University, Kyungnam University, Seoul Women's University, Sangmyung University, and many others
Writing-related: Please Give Me Some R (authored), Efficient R Programming (co-translated), Doing Data Science (translation review)
Recent Research📝: International R&D Collaboration for a Global Aging Society: Focusing on Aging-Related National-Funded Projects

Blog💻: datadoctorblog.com
Github🛠: github.com/encaion

■ Lecture Structure

Each lecture consists of 16 lectures, each consisting of theory, practice, and quizzes. This differs from simple rote learning. The most dangerous thing is that students only feel like they've learned something without improving their skills. 🙅‍♂️. That's why we encourage students to input code during the practice portions, as well as quizzes throughout the lectures.

■ Details

A lecture that covers detailed information such as errors and help inquiries!

I'll summarize and introduce the main functions like this!

There are quizzes like this too, you guys~

■ Copyright

Any unauthorized distribution or commercial use of any materials provided through this platform may result in punishment under applicable laws.

■ Lecture request or question

contact@rloha.io