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In this series we will be walking through everything you need to know to get started in Pandas! In this video, we learn about Exploratory Data Analysis in Pandas.

Dataset in GitHub:
https://github.com/AlexTheAnalyst/Pan...

Code in GitHub: https://github.com/AlexTheAnalyst/Pan...

Favorite Pandas Course:
Data Analysis with Pandas and Python https://bit.ly/3KHMLlu
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RESOURCES:

Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization https://coursera.pxf.io/AoYOdR
Tableau Data Visualization https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Analysis and Visualization https://bit.ly/3hhX4LX
Statistics for Data Science https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) https://bit.ly/3fkqEij
Tableau AZ http://bit.ly/385lYvN

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Websites:
Website: AlexTheAnalyst.com
GitHub: https://github.com/AlexTheAnalyst
Instagram: @Alex_The_Analyst
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0:00 Intro
1:51 First Look at Data
3:45 Info()
4:40 Describe()
5:47 Counting all Null Values
7:09 Count of Unique Values
8:15 Sorting on Values
10:40 Correlation between Columns
11:53 Heatmap using Seaborn
14:43 Grouping Data
25:02 Visualizing Grouped Data
26:17 Boxplots for Outliers
29:07 Data Types of Columns
30:41 Outro

All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for