All Hands on Data #32
Happy New Year AHOD! How about spending the start of the new year with some of our favorite articles of the week?
The Value of A/B Testing in Data Science: How to Use Experimentation to Improve Your Results
The high-level overview of A/B testing highlights the benefits AND the potential pitfalls of the practice; it's always important to note, especially in very helpful and highly popularized practices, there may be ways to conduct it improperly (e.g. incorrect hypothesis outlines). - John Forstmeier
The important purple people outside the data team
In your organization, you should seek to find individuals that do data-adjacent work. They understand the pain that data can help automate. You want to take these people and figure out how you can work more closely with them so that your data team can help drive more ROI-based initiatives.
As someone who started building a data team where every team member spent 50% of their time doing account management work, this one really rang true to me. - Blake Burch
Prompt Engineering GPT-3 to solve Project Euler problems
This is my favorite use of GPT-3 that I've seen thus far. I discovered Project Euler as an intern in college, and I absolutely love the small mathematical puzzles it provides. The fact that a program can take the problem description and provide the exact answer is amazing especially know how much time I've spent trying to come up with some of my own solutions. - Eric Elsken
Can You Generate Realistic Data With GPT-3? We Explore Fake Dating With Fake Data
It is an interesting look at how we can use AI to generate data. I just think it is a cool exercise in what we can use AI tools for. - Jon Davidson
How to Take Your SQL from Zero to Data Scientist Level - Part 2/3
If you're just getting started with SQL and want a quick, easy-to-read tutorial, this article is for you. Vamvakaris provides clear explanations, illustrative visuals, and a list of basic SQL clauses that you will certainly use. One of my favorites is the CASE clause, it is really a game changer when you're first starting out. - Katt Baum
2023 prediction: Could we see the rise of the low code data scientist in 2023?
Being that I don't have a background in data, I'm always drawn to low code solutions. It's interesting to see that the industry is headed in a direction that lowers the barrier to entry, and based on everything I've been following the past few months, I think this is a pretty good prediction for 2023. - Joseph McDermott
Ten podcasts for data scientists to subscribe to
I love putting together All Hands on Data because it allows me to see articles that I might have missed and stay on top of new topics in the data field. Riesling did a All Hands on Data on podcasts. If you are looking for something to listen to on your ride to work, she has some gems listed for you here. - Steven Johnson