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Self Driven Data Science — Issue #36
Here’s this weeks lineup of data-driven articles, stories, and resources delivered faithfully to your inbox for you to consume. Enjoy!
Comparing “Group By” in SQL and Python
When it comes to SQL and Python, many people out there see the languages as complementary, yet functionally discrete. There are actually many overlapping functions that can be accomplished by both SQL and Python. Exploring the overlapping functionalities of the languages can help those of us familiar with one language become more adept with the other.
How Booking.com Increases the Power of Online Experiments with CUPED
Data-supported decisions rule the roost at Booking.com. All product teams are empowered to do controlled experiments for any changes they make to the website. Such experiments expose some users to the existing website, while others see a new variant, allowing the team to statistically test the observed difference. Learn more about A/B testing with CUPED through this informative walkthrough.
What is a Data Visualization Engineer?
This article by Elijah Meeks, Senior Data Visualization Engineer at Netflix aims to answer several provocative questions about the role including how to become successful at it, when the role is necessary, and why it’s a profession in the first place.
How to Write Production-Level Code in Data Science?
The ability to write a production-level code is one of the sought-after skills for a data scientist role, whether it’s explicitly stated in the job description or not. This article contains some good tips for those who are new to writing production-level code for data science.
How Many ML Models You Have NOT Built?
As we all know, there are many business problems that require machine learning approaches. However, it’s important to remember that this it’s not always necessary. Most business problems can be solved through simple analytics or a base-line approach.
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Self Driven Data Science — Issue #36 was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
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