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McKinsey QuantHub Assessment (Data Science Analyst Role)

Hi Everyone,

I am preparing for an online QuantHub assessment for a Data Science Analyst role at McKinsey. The assessment has the following modules: Storytelling with Data, Analyst, and SQL. 

Do you all have any tips/advice for preparing? I have completed the practice tests for the following: SQL, Wrangling, Storing, and Exploration. Any additional insight / resources would be extremely helpful. 

Thanks!

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Top answer
Clara
Coach
on Nov 30, 2021
McKinsey | Awarded professor at Master in Management @ IE | MBA at MIT |+180 students coached | Integrated FIT Guide aut

Hello!

Unfortunately no, although I have looked for examples in several occasions and haven´t found them. It´s still really niche :(

Good luck!

Cheers, 

Clara

Anonymous A
on Dec 01, 2021
No worries! I completely understand. I actually ended up taking the assessment and passed! 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
Pedro
Coach
edited on Dec 03, 2021
Bain | EY-Parthenon | Private Equity | Market Estimates | Fit Interview

For storytelling you should read Barbara's Minto book which is Mckinsey's bible on communication: The Pyramid Principle

Based on what you described in your comment this is exactly what they are looking for.

Anonymous B
on Jan 29, 2022

Congrats what about the other questions related to Python , R and stat . Which resources I can used to practice and what are the practice tests . I am kinda new to Data Science .

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