Quanthub assginment McKinsey

Hi there,

I highly recommend you do some googling - there are plenty of resources out there.

Also, to poach a bit from an anonymous answer here:

https://www.preplounge.com/en/consulting-forum/mckinsey-quanthub-assessment-data-science-analyst-role-12223

“For future awareness / for anyone who was wondering, here’s my personal recommendation: 1. SQL: practice easy / medium questions on Leetcode and Hackerrank 2. Analyst (Data Wrangling, Exploring, Storing): Understand data architecture / warehouse / Snowflake principles (i.e. asynchronous replication, load balancers, etc.). Also, practicing SQL was helpful here (some questions around ‘which one of these queries would lead to an error?’) 3. Data Storytelling: Just understand key principles in data visualization (i.e. know when to use certain graphs, etc.) and interpreting graphs”

Hello!

To add on top, have a look at other Q&A answers in this same forum by searching by keyword, there is a ton of useful info you can leverage :)

Cheers, 

Clara