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The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles made the cut for today’s newsletter.
1. AWS re:Invent ML, Data and Analytics announcements
Really good recap of all ML, Data and Analytics announcements at AWS reinvent 2020 here
2. How to build production workflow with SQL modeling
A really good example of how a data engineering at Shopify applied software engineering best practices to analytics code. Read here
3. Back to basics: What are different data pipeline components and types?
Must know basic concepts for every data engineer here
4. Back to basics: SQL window functions
I was interviewing a senior candidate earlier this week and it was unfortunate to basic mistakes while writing SQL window functions. Don’t let that happen to you. Good tutorial here
5. 300+ data science interview questions
Good library of data science interview questions and answers
Thanks for reading! Now it’s your turn: Which article did you love the most and why?Note from Paras: To support this blog and free content here, I partnered with Datacamp for affiliate marketing revenue. I personally use this platform (see my profile here) and highly recommend it. I wouldn't be endorsing them if it wasn't 10/10! Click on the link below to start your journey towards becoming the BEST data professional! Paras's datacamp referral link