Pandas
Master data manipulation with pandas
Learn how to manipulate DataFrames with pandas, the most popular Python library for data analysis. Covers reading data, filtering, grouping, merging, and cleaning real-world datasets.
Data ScienceFreebeginner4 hours
Submitted by @kiraRoadmap (5 steps)
1
Creating & Reading DataFrames
45 min#Creating DataFrames#Reading CSV Files#Data Inspection#Basic Info & Stats
2
Indexing & Filtering
45 min#Column Selection#Row Filtering#Boolean Indexing#loc & iloc
3
Grouping & Sorting
45 min#groupby Operations#Aggregation Functions#Sorting Values#Multi-Index
4
Data Cleaning & Transformation
1 hour#Handling Missing Values#String Operations#Renaming Columns#Applying Functions
5
Merging & Joining
45 min#concat#merge#join#Appending Data