Data Wrangling with Python and Pandas

Real-world data tends to be messy. It's not uncommon to receive a dataset that has missing values, incomplete or duplicate records, inconsistent attribute values, and other unnecessary noise, etc. Data wrangling is an essential first step of any data analysis work. It's the process of preparing your data for analysis by cleaning, reshaping, and transforming it into a structured and coherent format. Pandas provides us with a comprehensive and intuitive toolkit for performing these tasks efficiently and effectively.

Rewards Data CSV File:
https://drive.google.com/file/d/1xYz0MCT0-xLYx5H-Z4a25K6jL5-MTe6X/view?usp=drive_link

Prerequisites for this video include:
-- A working knowledge of the Python programming language.
-- An instance of Python installed on your computer.
-- An interest in learning how to use the Pandas Python library.

This video is also part of a video series playlist covering Data Wrangling in Pandas:
(1) https://youtu.be/64vfUnQCARU?si=VsOfQqFrcJi4PH2J
(2) https://youtu.be/OfERprOC3F4?si=tUzBQmIqir_FRZGE
(3) https://youtu.be/XjIbQr1PClw?si=HlyP9S55FthKoY-0
(4) https://youtu.be/FewQqTCtx2o?si=NJH2pKvbpFhHhx1X
(5) https://youtu.be/vSyymtg_BVw?si=xNVVOf-xlu_38TWO
(6) https://youtu.be/FcUVd49Auhs?si=au3sD3YK30bDqHpQ
(7) https://youtu.be/asjK4Gx_zXM?si=a18_TuiB7gMNtfdd
(8) https://youtu.be/I42JH5zT2vg?si=FADDPH4TSKstbNFR