Nasdaq Interview Questions
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Nasdaq Interview Questions
Practice for the Nasdaq interview with these recently asked interview questions.
| Question | Topic | Difficulty | |||||||||||||||||||||||||||||||||
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SQL | Hard | ||||||||||||||||||||||||||||||||||
Given a table of product subscriptions with a subscription start date and end date for each user, write a query that returns true or false whether or not each user has a subscription date range that overlaps with any other completed subscription. Completed subscriptions have Example: Input:
Output:
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Data Structures & Algorithms | Medium | ||||||||||||||||||||||||||||||||||
Data Structures & Algorithms | Easy | ||||||||||||||||||||||||||||||||||
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
Challenge
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Nasdaq Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the ML Engineer role pays the most with a $131,249 base salary while the Business Analyst role on average pays the least with a $83,000 base salary.
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