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Pandas — Free Course — Fun with Learning Technology

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Pandas

Data manipulation and analysis with Pandas

34 topics8 sections34 lessons ready

01

Getting Started

5

Introduction to Pandas and Data Analysis
Series — Creation and Operations
DataFrames — Creation and Basics
Reading Data: CSV, Excel, JSON, SQL
Writing and Exporting Data

02

Selecting and Filtering

5

Selecting Columns and Rows
loc vs iloc — Label vs Position Indexing
Boolean Indexing and Filtering
Conditional Selection with query()
MultiIndex and Hierarchical Indexing

03

Data Cleaning

5

Handling Missing Data — isnull, dropna, fillna
Removing Duplicates
Data Type Conversion (astype)
Renaming Columns and Index
Replacing Values and Mapping

04

Transformation

5

apply(), map(), and applymap()
String Operations with str accessor
DateTime Handling with dt accessor
Sorting — sort_values and sort_index
Ranking and Cumulative Functions

05

Aggregation and Grouping

5

GroupBy — split-apply-combine
Aggregation Functions — agg, transform
Pivot Tables and crosstab
Rolling and Expanding Windows
Resample for Time Series

06

Combining Data

3

concat — Stacking DataFrames
merge — SQL-style Joins
join — Index-based Merging

07

Performance

3

Memory Optimization with dtypes
Vectorized Operations vs loops
Chunking Large Files

08

Interview Prep

3

Pandas Interview Questions — Basics
Pandas Interview Questions — Advanced
Pandas Coding Challenges

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