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Data & Automation Lesson 4 of 4

Data Analysis & Visualizations with Pandas

32:00 Python for Automation & Data Analysis

Load messy CSV files, clean missing values, run group-by aggregations, and generate boardroom-ready charts in seconds.

Lesson notes

Pandas is the industry-standard data manipulation tool. What takes 45 minutes of painful VLOOKUPs and pivot tables in spreadsheets takes three lines of code in Pandas.

What you'll learn

  • Pandas DataFrames vs Series
  • Filtering, grouping, and calculating summary metrics
  • Exporting clean datasets to CSV and Excel

1. The 3 Core Pandas Operations

Reading data (`df = pd.read_csv('data.csv')`), filtering (`df[df['sales'] > 1000]`), and grouping (`df.groupby('region')['revenue'].sum()`).