Tomorrow marks the beginning of my journey to learn R. I've outlined a structured plan to ensure I make the most of my learning experience. Here's how I intend to approach it:

Structured Learning Sessions

• Dedicated Study Time: I plan to sit down and engage in focused 20-minute sprints. The primary resource for this will be the "R for Data Science" book. My goal is to read and follow along as much as possible to grasp the basics of using R.

Practical Application

• Exploring R Projects: After getting a feel for R, I'll dive into real-world applications. This involves watching 5 to 10-minute YouTube videos to see how R is used in various projects. It's crucial for me to understand the practical side of what I'm learning.
• Kaggle Projects: Another step is to explore sample R projects on Kaggle. This will help me see what libraries are commonly used, understand different methodologies, and learn how exploratory data analysis is conducted.

Tools for Success

• Endel: I plan to use Endel, the soundscapes application, to maintain a focused learning environment.
• TickTick: To keep track of my Pomodoro sessions (20-minute learning sprints), I'll use TickTick. This will help me stay organized and ensure I'm following through with my plan.

Motivation

The key to this plan is staying motivated. I'm confident that by following this structured approach, I'll be able to make significant progress in learning R. I've got this!