Pearson Interview Questions
Pearson Interview Guides
Pearson Interview Questions
Practice for the Pearson interview with these recently asked interview questions.
| Question | Topic | Difficulty | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SQL | Medium | |||||||||||||||||
Given a table called Immediate is defined as the user holding no other titles between the Example: Input:
Output:
| ||||||||||||||||||
SQL | Hard | |||||||||||||||||
A/B Testing | Medium | |||||||||||||||||
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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Pearson 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 Product Manager role pays the most with a $135,000 base salary while the ML Engineer role on average pays the least with a $113,333 base salary.
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