From the course: Advanced Analytics Engineering: Real-World Practice
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Solution: Time series data analysis with Python
From the course: Advanced Analytics Engineering: Real-World Practice
Solution: Time series data analysis with Python
(upbeat music) - [Instructor] Alright, here's the solution to our assessment. First, we needed to write a select statement selecting from our employee's table. We needed four columns first, the first name, last name, weekly pay, and department from that employee's table. Then we needed to write a dense rank function, which is partitioned by department, ordered by weekly pay descending, and we aliased it as department rank. Once we ordered by department and department rank, our output should look like what we have here on the left with 11 rows. If you got that right, great job. If you didn't, that's okay. Keep practicing, you'll get it.
Contents
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Advanced SQL techniques1m 15s
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(Locked)
Recursive common table expressions (CTEs) and when to use them6m 45s
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(Locked)
Improving query performance by indexing tables5m 15s
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(Locked)
Updating database tables8m 46s
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(Locked)
Window functions8m 56s
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(Locked)
Solution: Time series data analysis with Python44s
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