Think Like a Data Analyst | Big Data Analytics with Python using Amazon.com data

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???? Check out Bright Data ➡︎ https://brdta.com/datawithmo
????️ Data Analyst Roadmap ➡︎ https://datawithmo.com/
In this analysis / mini case-study, I'll be using a very large Amazon.com dataset to perform some Big Data Analytics with Pyton using PySpark. I'll answer questions around how I would try and enter the Amazon Marketplace by identifying which product categories I should focus on, and who my main competitors would be.

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Certificates and Courses
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???? Google Data Analytics Professional Certificate ➡︎ https://imp.i384100.net/googleDACert
???? Google Advanced Data Analytics Professional Certificate ➡︎ https://imp.i384100.net/googleAdvDataCert
???? Google Business Intelligence Professional Certificate ➡︎ https://imp.i384100.net/googleBIcert
???? Excel ➡︎ https://imp.i384100.net/IBMexcel
????‍???? SQL ➡︎ https://imp.i384100.net/UCDavisSQLDataScience
???? Tableau Data Visualization ➡︎ https://imp.i384100.net/tableauDataVisualization
???? Microsoft Power BI Data Analyst Professional Certificate ➡︎ https://imp.i384100.net/MicrosoftPowerBIdaProfCert
???? Python ➡︎ https://imp.i384100.net/IBMpython
???? Learn with Enterprise DNA ➡︎ https://bit.ly/3DrwGeR

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DWM Membership
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Become a DWM Supporter ➡︎ https://www.youtube.com/@datawithmo/join

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Connect with me!
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Instagram ➡︎ https://www.instagram.com/mo_chen1/

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Resources
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Dataset ➡︎ https://brdta.com/datawithmo
Code ➡︎ https://github.com/mochen862/big-data-analytics

Please note I may earn a small commission for any purchase through these links. Thanks a lot for supporting the channel!

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

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Timestamps
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00:00 Intro
01:47 Data Gathering
05:36 Basic Operations with PySpark
11:28 Clean and Transform Data
16:08 Getting the Insights / Answering Key Questions
23:13 Recap
28:04 Outro
Catégories
E commerce Amazon

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