Data Science 101

A brief introduction to data analysis

Welcome to the beginner's guide! This repository contains open-source study notes, code snippets, and sample datasets for learning Python-based data science.

Module 1: Python Basics

Variables
Loops
Functions

Start your journey by understanding basic Python syntax. Learn how to write your first script and understand data types like lists and dictionaries.

Example: print("Hello, Data!")

Module 2: Data Wrangling with Pandas

DataFrames
CSV/Excel
Cleaning

Pandas is the most powerful tool for tabular data. In this section, we cover how to load datasets, handle missing values, and group data for basic statistics.

Command: df = pd.read_csv('data.csv')

Module 3: Visualization Fundamentals

Matplotlib
Seaborn

Numbers are hard to read. Learn how to turn your raw data into beautiful bar charts, scatter plots, and heatmaps to discover underlying trends.