In this lecture we will load a random data and apply various intermediate data manipulation techniques to modify our data. Key method includes Pandas Group by and Aggregation. Perfect for junior data analysts looking to refresh their data handling skills!
Topics Covered:
00:00 - Introduction
00:13 - Agenda
00:39 - Theory
01:27 - Load / Create Data
03:29 - Data Aggregation (theory, code, explanation)
11:31 - Data Grouping (theory, code, syntax, explanation)
15:40 - Homework
16:49 - Thanks & End
Additional Content You May Like:
Series Playlist: • Practical Machine Learning
GitHub Repository: https://github.com/devloperhs14/pract... (filename)
Python Practice Exercises: • Python OPPE1 Practice Series
Hashtags:
#DataAnalyticsWithPython #DataManipulation #Python