Data Analytics Daily Logs

A personal repository to track my day-to-day learning in data analytics, Python, and related topics.
This repo serves as a structured log of concepts, techniques, and insights I gather while learning. Since I often have trouble remembering concepts, revisiting them is crucial — this repository helps me revise and reinforce my learning.
If you are a beginner in data analytics and unsure where to start, this might be the right resource for you

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Contents

• Daily Logs: Short, organized entries of what I studied each day.
• Pandas Notes: Quick references and practical examples for pandas.
• Data Cleaning: Notes and techniques for handling missing or duplicate data.
• Exploratory Data Analysis (EDA): Observations, charts, and insights from datasets.
• Resources & References: Links, tips, and additional learning materials.

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Purpose

• Maintain a structured record of my learning journey.
• Make it easy to review and revise key concepts.
• Build a professional, recruiter-friendly GitHub portfolio.

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How to Use

1. Open the folders or .md files for daily logs.
2. Read or review concepts and techniques.
3. Optionally, fork or clone the repository for your personal reference.

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*This repository is a personal learning log and is updated regularly as I progress in data analytics *