How I Began My Data Science Journey with R in the Last Month

Over the past month , I decided to dive seriously into data science , with one clear mission:

learn how to analyze real data using R like a professional.

To challenge myself, I worked on a complete e-commerce analytics project.

It ended up being demanding, sometimes frustrating, but incredibly rewarding.

Here is what I learned, how I progressed, and why this one-month experience became a turning point in my journey.

1. Getting Started: Learning to Work with R

At first, R looked unusual and a bit intimidating.

But once I started using the right libraries, everything became more natural:

dplyr for data manipulation

ggplot2 for visualization

readxl and read.csv for importing data

forecast for my first time-series predictions

Writing pipelines with %>% even became enjoyable.

It felt like guiding the computer step-by-step through a clear thought process.

2.…