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1
Intro
2
Data
3
Peek
4
Columns
5
Data Types
6
Mathematical Functions
7
Sorting
8
Correlation
9
Covariance
10
Filter
11
Rebuild
Description:
Explore the fundamentals of data manipulation and analysis using Pandas in this concise 21-minute tutorial. Dive into essential concepts such as data peeking, column operations, data types, and mathematical functions. Learn how to perform sorting, calculate correlation and covariance, apply filters, and rebuild datasets. Gain practical skills to enhance your data science toolkit and improve your ability to work with structured data efficiently.

Data Science: Introduction to Pandas

Bill Buchanan OBE
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