Take my Full Python Course Here: https://www.analystbuilder.com/courses/pandas-for-data-analysis

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

Datasets in GitHub:
https://github.com/AlexTheAnalyst/PandasYouTubeSeries/blob/main/Customer%20Call%20List.xlsx

Code in GitHub: https://github.com/AlexTheAnalyst/PandasYouTubeSeries/blob/main/Pandas%20101%20-%20Data%20Cleaning%20in%20Pandas.ipynb

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 A-Z - 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
0:41 First Look at Data
2:34 Removing Duplicates
3:41 Dropping Columns
5:10 Strip
12:15 Cleaning/Standardizing Phone Numbers
21:29 Splitting Columns
24:58 Standardizing Column Values using Replace
28:40 Fill Null Values
29:42 Filtering Down Rows of Data
36:42 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*