Embark on a comprehensive 39-minute video tutorial led by Kaggle Grandmaster Rob Mulla, offering a gentle introduction to Pandas data analysis in Python. Learn the fundamentals of this essential data science tool, starting with Series and DataFrame data structures. Discover how to read and inspect data, manipulate columns and rows, and subset information effectively. Master techniques for casting data types, creating new columns, and adding rows to your dataset. Explore data visualization with plot examples and conclude by saving your work as a CSV file. Perfect for beginners in data science, this hands-on guide utilizes a Kaggle notebook to provide practical, real-world experience in using Pandas for data wrangling and analysis.
Overview
Syllabus
Introduction
Series data structure
DataFrame data structure
Reading in data
Inspect The Data
Columns and Rows
Subsetting Data
Casting dtypes
Creating new column
Adding new Row
Plot Examples
Save out the output as a csv
Taught by
Rob Mulla
