---
title: Virgil - Intro To Pandas Seaborn - S11 Introduction
tags: Virgil, LearnWorld, IntroPandasSeaborn
---

# Module Overview



[Pandas](https://pandas.pydata.org/) has been one of the most popular and favourite data science tools used in Python programming language for data wrangling and analysis.

Data is unavoidably messy in real world. And Pandas is seriously a game changer when it comes to cleaning, transforming, manipulating and analyzing data. In simple terms, Pandas helps to clean the mess. Furthermore, we will use [Seaborn](https://seaborn.pydata.org/), a Python library to make statistical graphics to help you expore and understand your data.

For this module, we will learn to work with Pandas on analysing data and Seaborn to visualize data. Let's get our hands on some of the very basic concept, including:

1. [Pandas Components: DataFrame, Series, Basic Data Types](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=6137215db92f6c75a744a6ddUnit)

2. [Load and Overview Data](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=613726a7561561127a1ef589Unit)

3. [Selection](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=613724f9f97497712858c135Unit)

4. [Filter and Sort](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=613726bfa08f431548611d77Unit)

5. [Group By](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=613838e32772dd323c6606b8Unit)

6. [Pivot Table](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=613838f3c3653b1ea71a8a28Unit)

7. [Apply](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=6138390866183e5cb179d8c8Unit)

8. [Merge and Concat]

9. [Seaborn for Data Visualization](https://coderschool.learnworlds.com/path-player?courseid=intro-pd-sns&unit=613862c606f54e061d7bd7ffUnit)