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SQL Coding Questions & Answers

Master the world of data! Dive into 216 SQL & Python online coding questions and emerge as a data expert!

ALL QUESTIONS

affirm afterpay airbnb amazon apple doordash dropbox ebay google linkedin lyft mobile netflix robinhood roblox search engine snap social spotify tiktok twitter uber visa walmart

Single Table Operation: Lecture 3: IN, BETWEEN, LIKE, CASE WHEN

ID Title Level FTPR Lecture
11 Actors' last name easy
21%
2.3
12 Actors' last name ending in 'EN' or 'RY' easy
27%
2.3
13 Actors' first name medium
14%
2.3
14 Good days and bad days hard
4%
2.3
15 Fast movie watchers vs slow watchers hard
6%
2.3
22 Average cost per rental transaction easy
42%
2.3
24 Films with more than 10 actors medium
19%
2.3
25 Shortest film easy
46%
2.3
26 Second shortest film easy
30%
2.3
27 Film with the largest cast easy
27%
2.3
28 Film with the second largest cast medium
26%
2.3
29 Second highest spend customer medium
14%
2.3
30 Inactive customers in May easy
22%
2.3
31 Movies that have not been returned easy
26%
2.3
32 Unpopular movies hard
17%
2.3
33 Returning customers medium
8%
2.3
34 Stocked up movies easy
27%
2.3
35 Film length report easy
27%
2.3
102 Histogram by visit session duration mobile hard
17%
2.3
131 Churned accounts affirm hard
10%
2.3
136 Extremely late orders doordash easy
11%
2.3
138 Happy restaurants doordash easy
14%
2.3
151 Salary report dropbox easy
18%
2.3
155 Driver with the highest cancellation rate lyft easy
24%
2.3
156 Cancellation rate by unbanned users lyft hard
15%
2.3
160 Sellers with no sales by day ebay hard
11%
2.3
176 Employees' annual bonus amazon easy
12%
2.3
177 Purchases by platform report amazon medium
10%
2.3
178 Members who worked at both Microsoft and Google linkedin medium
34%
2.3

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