Скачать с ютуб Fastest way to Start Your Data Engineer Journey in 2024 - 100 Days Of Data Engineering Crash Course в хорошем качестве

Fastest way to Start Your Data Engineer Journey in 2024 - 100 Days Of Data Engineering Crash Course

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/... Also, if you'd like to dive deeper into data strategy and infrastructure and you'd like to support me, you can consider becoming a paid member of my Substack. I have over 100 articles that cover everything from data engineering 101 to leading data teams. Sign up with the link below and get 30% off. - https://seattledataguy.substack.com/1... If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here. https://seattledataguy.substack.com/​​ Or check out my blog https://www.theseattledataguy.com/ And if you want to support the channel, then you can become a paid member of my newsletter https://seattledataguy.substack.com/s... 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 _____________________________________________________________ Subscribe:    / @seattledataguy   _____________________________________________________________ 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. *I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.