Chapter 4: Python for Data Science

Section 1: Kyu Python Seekhna Zaroori hai?Excel, PowerBI, SQL se data dekh sakte ho.

Par Python se data ko control karte ho.Har Data Scientist ki 80% job Python me hi hoti hai.Section 2: Is Chapter me kya cover hoga?4.1

Python Basics

Variables, Data Types, If-Else, Loop – bilkul zero se

4.2 NumPy
import numpy as np – 1 huge data par calculation

4.3 Pandas
Excel ka boss. CSV file padho, filter karo, naya column banao

df = pd.read_csv(“students.csv”)
topper = df[df[‘Marks’] > 90]

4.4 Matplotlib & Seaborn
2 line code me Bar Graph, Pie Chart, Line Graph

4.5 Mini Project
“Flipkart Sales Data” pe analysis: Sabse zyada bikne wala product nikalo

Section 3: Real ExamplePehle Excel me
Ab Python me: df.describe() – se poora report section

Chapter 5: Data Cleaning – Missing data, Duplicate data ko thik karna

Chapter 6: Machine Learning – Prediction model banana

CTA Section

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FAQs

Q:Coding nahi aati?
Ans: Isi liye ye chapter hai. Basic se start karenge

Q: Phone se ho jayega?
Ans: Practice ke liye Google Colab – bilkul free

 

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