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Python for Data Analysis: Getting Started in 30 Minutes

2026-03-16 · csv-x.com Team

Python is the most popular language for data analysis. Here's the fastest path to productivity.

Install (5 minutes)

Install Anaconda (includes everything). Or: pip install pandas numpy jupyter matplotlib.

First Analysis (10 minutes)

Load CSV: import pandas as pd; df = pd.read_csv('data.csv'). Explore: df.head(), df.describe(), df.info(). Plot: df.plot(kind='bar').

Essential Pandas Operations

Filter: df[df['age'] > 30]. Group: df.groupby('category').sum(). Sort: df.sort_values('revenue', ascending=False). Merge: pd.merge(df1, df2, on='id').

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