This course delves deeper into advanced data preprocessing and collection techniques with an extensive focus on merging DataFrames, grouping, and sorting values. It aims to provide an in-depth comprehension of these techniques, preparing the learners to effectively manage, transform, and prepare complex datasets for analysis.
Exploring Right Join in DataFrame Merges
Navigating Library Data: Changing Merge Type in Pandas DataFrames
Fix the DataFrame Merging
Merging Catalog DataFrames
Merging Bookstore DataFrames from Scratch
Calculating Average City Income using Grouping in Pandas DataFrame
Calculate the Max Age in Each City
Grouping and Calculating Mean in Pandas DataFrame
Population Analysis of Cities
Grouping and Calculating Population by City
Filtering Grouped Data in Supermarket Sales Analysis
Modify Lambda Function in DataFrame Filtering
Filtering Product Sales in a Grocery Store
Supermarket Inventory Analysis
Sorting Stock Data Using DataFrame in Pandas
Sort Stock Prices and Volumes in Ascending Order
Sorting Stock Data By Price and Volume
Analyze and Sort Stock Market Data using Python and Pandas