???? 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.
===========================
Certificates and Courses
===========================
???? 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
===========================
DWM Membership
===========================
Become a DWM Supporter ➡︎ https://www.youtube.com/@datawithmo/join
===========================
Connect with me!
===========================
Instagram ➡︎ https://www.instagram.com/mo_chen1/
===========================
Resources
===========================
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.
===========================
Timestamps
===========================
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
????️ 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.
===========================
Certificates and Courses
===========================
???? 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
===========================
DWM Membership
===========================
Become a DWM Supporter ➡︎ https://www.youtube.com/@datawithmo/join
===========================
Connect with me!
===========================
Instagram ➡︎ https://www.instagram.com/mo_chen1/
===========================
Resources
===========================
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.
===========================
Timestamps
===========================
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
Commentaires