Fastest way to become a Data Engineer in 2024 - 100 Days Of Data Engineering

How do you become a data engineer.

There are lots of skills you need to learn that range from Python, SQL, Data warehousing, etc.

Can you learn all of that in 100 days? The short answer is no.

But if you are looking to become a data engineer in 2024, this video will help you set a baseline! Also check out the checklist below.

100 Days Of Data Engineering Checklist https://docs.google.com/spreadsheets/d/1a5TMdF7Vz-YdvlHXnNHLMeHk7lV-TdRjbPoxMrQ_cSE/edit#gid=0

If you enjoyed this video, check out some of my other top videos.

Becoming A Data Consultant In 2024 https://www.youtube.com/watch?v=RYjLU2N8K70&t=3s

Top Courses To Become A Data Engineer https://www.youtube.com/watch?v=kW8_l57w74g

What Is The Modern Data Stack - Intro To Data Infrastructure Part 1 https://www.youtube.com/watch?v=-ClWgwC0Sbw

If you would like to learn more about data engineering, then check out Googles GCP certificate https://bit.ly/3NQVn7V

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0:00 Intro 2:19 How To Use The Data Engineering Checklist 3:59 Kicking Off Your 100 Days Of Data Engineering 4:12 Days 1-10 Of Data Engineering The Basics 6:02 Days 11-40 Deeper Dive Into Python, SQL, Data Warehousing 7:57 Days 41-50 Building A Mini Data Project 8:52 Days 51-70 Survey Of Data Engineering Tools 10:32 Days 71-100 Data Engineering Project

Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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About me: I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

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