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One of LinkedIn's Top Voices in Data Science and Analytics for two years in a row (2018 and 2019) stops by the show to talk about his journey into data engineering, why you dozens of data science certificates are meaningless, and how you can become a data engineer! Join the FREE open Slack mastermind community where I'll answer questions and keep you posted on bi-weekly office hours: https://bit.ly/artistsofdatascience Follow the show in Twitter: @ArtistsOfData, on IG: @TheArtistsOfDataScience, on FB: facebook.com/TheArtistsOfDataScience, and on LinkedIn! [02:20] The introduction for our guest today [04:16] Andreas talks to us about how he got into the world of data science [05:58] The importance of having both engineers and data scientists on your data science team, and why you need both to really be successful. [06:35] Andreas talks to us about his upcoming book - The Data Engineering Cookbook [07:57] What his creative process is like for writing the book, and the differences and similarities between that and doing a data science project. [09:56] Andreas shares he views on the value of certificates [11:54] Andreas takes us through a workflow for creating a data engineering project and how you can build one for your portfolio. [14:47] We talk about his new coaching and mentoring platform and what he is aiming to accomplish and achieve with that. We also talk more details for building out a data engineering project. [17:21] More details on his coaching platform and what he wants students to gain from going through the program [19:56] Jump into to the lightning round here. Python or R? [21:02] What cloud platform data engineers should start using : AWS or Azure? [21:46] Self study or certificates? [21:53] Favorite big data tool? [22:09] His favorite question to ask during an interview [23:14] The weirdest question he's been asked in an interview [23:41] How you can connect with Andreas and where you can find him online Special Guest: Andreas Kretz.