Nick Singh 📕🐒

Worst LinkedIn Feature
p.s. Best LinkedIn Feature: https://lnkd.in/gtMwCF-J

Half of Data Science is just Googling

Python solved the mystery 👇

If you’re a Data Scientist trying to level up, go read case studies.

Data Science is less about knowing the nuances of a particular library/tool, but more about its application to solving business problems.

Case studies from companies help you understand how projects operate, from start to end, and the practical ways Data Science is applied in the real world.

Case studies crucially show you the underlying business needs which motivate the technical solution — something which sadly gets missed in most DS classes 😢

Here’s a fun case study from Netflix on how they use ML to decide what new shows & movies to make: https://lnkd.in/ecF95TCF

Here’s a case study from Uber on how they use graph theory + ML to find users making fraudulent trips: https://lnkd.in/e2bi6qaB

Here’s a case study from Airbnb on how they track marketing data at scale: 
https://lnkd.in/eRsdq24h

What's your favorite company blog or source for Data Science case studies?

I feel like Zach Wilson, Daliana Liu, Aishwarya Srinivasan, and Eugene Yan y'all might have some interesting reads to share?

p.s. if your on the job hunt read my new book, Ace the Data Science Interview (# 1 Amazon Bestseller!): https://amzn.to/3kF79Fx

#datascience #machinelearning

Whether you’re a:
- data analyst
- data scientist
- data engineer
- business analyst
- DB administrator
- software engineer
- machine learning engineer

At the end of the day, you’re a problem solver.

Most Data Science jobs DON'T need Deep Learning.
Most Data Science jobs DO need SQL.

Plan accordingly.

p.s. Here's 3 free resources to learn & practice SQL:

1. Learn SQL in 30 Days for Free Roadmap
https://lnkd.in/gTKT5bdt

2. Practice 70+ Real SQL Interview Questions
https://lnkd.in/gGiRVBK8

3. 6,000 Word Guide on Must-Know SQL Interview Topics
https://lnkd.in/gXjMbj7Z

Truth

Chai & Data Science with Aishwarya Srinivasan!