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Tech SkillsPython Pandas Mastery
data-scienceIntermediate

Python Pandas Mastery

Master Data Analysis with Pandas

35 hours
24 lessons
6 modules
0 enrolled

Learn pandas from fundamentals to advanced techniques. Master DataFrames, data cleaning, transformation, merging, grouping, and real-world data analysis. Every lesson includes hands-on Python code challenges.

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What you'll learn

  • Hands-on coding challenges
  • Real-world project examples
  • Interview preparation tips
  • Best practices & patterns
Certificate on completion
Interactive code challenges

Course Syllabus

🐼
Module 1

Pandas Foundations

Get started with pandas - understand DataFrames, Series, and essential operations

4 lessons

~180 min

1

Introduction to Pandas

4 steps · 20 min

2

DataFrames: The Core Structure

4 steps · 25 min

3

Reading and Writing Data

4 steps · 20 min

4

Data Exploration

4 steps · 20 min

🎯
Module 2

Data Selection & Indexing

Master selecting, filtering, and slicing data in DataFrames

4 lessons

~180 min

1

loc and iloc: Precision Selection

4 steps · 25 min

2

Boolean Indexing & Filtering

4 steps · 25 min

3

Setting and Modifying Values

4 steps · 20 min

4

Advanced Indexing

4 steps · 20 min

🧹
Module 3

Data Cleaning

Handle missing data, duplicates, and data type issues

4 lessons

~180 min

1

Handling Missing Data

4 steps · 25 min

2

Managing Duplicates

4 steps · 20 min

3

Data Type Conversion

4 steps · 20 min

4

String Operations

4 steps · 20 min

🔧
Module 4

Data Transformation

Transform data with apply, map, groupby, and aggregation

4 lessons

~180 min

1

Apply, Map, and Applymap

4 steps · 25 min

2

GroupBy Fundamentals

4 steps · 25 min

3

Transform and Filter Groups

4 steps · 20 min

4

Pivot Tables and Reshaping

4 steps · 25 min

🔗
Module 5

Merging & Joining Data

Combine DataFrames with merge, join, and concat

4 lessons

~180 min

1

Merging DataFrames

4 steps · 25 min

2

Concatenating DataFrames

4 steps · 20 min

3

Index-Based Joining

4 steps · 20 min

4

Combining Strategies

4 steps · 20 min

🌍
Module 6

Real-World Data Analysis

Apply pandas skills to real analysis workflows

4 lessons

~180 min

1

Time Series Data

4 steps · 25 min

2

Performance Optimization

4 steps · 20 min

3

Method Chaining

4 steps · 20 min

4

Capstone: Sales Analysis

4 steps · 30 min