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SQL Coding Questions & Answers

Practice 216 online coding questions and become a data expert.

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Level: hard

ID Title Level FTPR Lecture
14 Good days and bad days hard
4%
2.3
15 Fast movie watchers vs slow watchers hard
5%
2.3
32 Unpopular movies hard
16%
2.3
41 Productive actors vs less-productive actors hard
6%
3.2
45 Movie inventory optimization hard
7%
3.2
53 Movie groups by rental income hard
11%
3.2
58 Percentage of revenue per movie hard
8%
4.1
60 Movie rentals and average rentals in the same category hard
9%
4.1
61 Customer spend vs average spend in the same store hard
12%
4.1
63 Top 5 customers by store hard
8%
4.2
64 Top 2 films by category hard
16%
4.2
68 Spend difference between first and second rentals hard
12%
4.4
69 Number of happy customers hard
12%
4.4
73 Number of days to become a happy customer hard
11%
4.2
74 The most productive actors by category hard
11%
4.2
79 Spend difference between the last and the second last rentals hard
18%
4.4
80 DoD revenue growth for each store hard
19%
4.4
85 Top 4 queries based on click through rate on new year's day search engine hard
6%
2.2
95 Candidate products for subscription amazon hard
11%
2.2
102 Histogram by visit session duration mobile hard
12%
2.3
105 Number of days gap between last two actions mobile hard
9%
4.2
108 Free premium membership amazon hard
17%
4.1
115 Rolling average revenue amazon hard
26%
4.1
118 Daily bookings in the US airbnb hard
5%
3.2
119 Top 2 countries by bookings airbnb hard
6%
4.2
120 First ever booking airbnb hard
7%
4.2
121 Week over week change of first ever bookings airbnb hard
6%
4.4
122 Top country by wow growth airbnb hard
8%
4.2
126 Top 3 restaurants uber hard
9%
2.1
127 Average rating after 10th trip uber hard
11%
4.2
131 Churned accounts affirm hard
10%
2.3
140 Daily sales of restaurant 100011 doordash hard
9%
3.2
141 Cumulative sales of restaurant 100011 doordash hard
16%
4.1
145 Returning customers after first buy afterpay hard
15%
4.2
147 2 days streak customers social hard
11%
4.4
156 Cancellation rate by unbanned users lyft hard
14%
2.3
160 Sellers with no sales by day ebay hard
7%
2.3
165 Session stitching walmart hard
15%
4.2
172 Comments distribution social hard
13%
3.2
180 Members moved from Microsoft to Google directly. linkedin hard
16%
4.4
188 Top 1 popular question by department google hard
100%
4.2
190 Twitter campaign spend report twitter hard
50%
2.2
195 MoM user growth snap hard - 4.4
196 User segments report snap hard - 2.2
199 Students improvement snap hard - 4.4
212 Top issuing bank by category visa hard - 2.1
214 D30 retention rate gaming hard - 2.2
215 Monthly active users gaming hard - 2.2
216 Highest spender gaming hard - 2.2

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