Data Analyst

A repository where I practice and build my understanding of Data Analysis step by step.

This includes Python practice, data analysis exercises, problem-solving, and projects that I build while learning.

What I'm Learning

• Python
• NumPy
• Pandas
• SQL
• Data Cleaning
• Data Analysis
• Data Visualization
• Exploratory Data Analysis (EDA)

Repository Structure

Data_Analyst/
│
├── python/
│   └── Python practice and exercises
│
├── data_analysis_with_python/
│   └── Data analysis practice and exercises
│
├── requirements.txt
└── README.md

The structure will grow as I learn and add new topics and projects.

How I Learn

I try to understand a topic before moving to the next one.

My usual process is:

1. Learn the concept
2. Practice with small problems
3. Apply it to data
4. Build something with it
5. Review what I learned

Current Focus

My current focus is strengthening my Python fundamentals and learning how to use Python for data analysis.

I am gradually working with NumPy, Pandas, SQL, and other tools used in data analysis.

Practice & Projects

This repository contains my practice solutions, experiments, and projects.

Some work may be simple because I am still learning. The goal is to improve the quality and complexity of my work over time.

Progress

This is an ongoing learning repository.

I will keep adding new concepts, practice problems, and projects as I learn.

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Learning step by step. Building one thing at a time.