Which data type is used to store a sequence of characters in Python?
Anonymous Quiz
13%
Integer
4%
Float
79%
String
4%
Boolean
❤6
Which of the following is a valid way to define a list in Python?
Anonymous Quiz
13%
my_list = (1, 2, 3)
18%
my_list = {1, 2, 3}
66%
my_list = [1, 2, 3]
3%
my_list = "1, 2, 3"
❤4
Which loop is used to iterate over a sequence (like a list or a string) in Python?
Anonymous Quiz
31%
while loop
61%
for loop
8%
if loop
❤4
What will be the output of the following code?
my_string = "Python" print(len(my_string))
my_string = "Python" print(len(my_string))
Anonymous Quiz
14%
5
61%
6
6%
7
18%
Error
❤8
SQL Interviews LOVE to test you on Window Functions. Here’s the list of 7 most popular window functions
👇 𝟕 𝐌𝐨𝐬𝐭 𝐓𝐞𝐬𝐭𝐞𝐝 𝐖𝐢𝐧𝐝𝐨𝐰 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬
* RANK() - gives a rank to each row in a partition based on a specified column or value
* DENSE_RANK() - gives a rank to each row, but DOESN'T skip rank values
* ROW_NUMBER() - gives a unique integer to each row in a partition based on the order of the rows
* LEAD() - retrieves a value from a subsequent row in a partition based on a specified column or expression
* LAG() - retrieves a value from a previous row in a partition based on a specified column or expression
* NTH_VALUE() - retrieves the nth value in a partition
React ❤️ for the detailed explanation
👇 𝟕 𝐌𝐨𝐬𝐭 𝐓𝐞𝐬𝐭𝐞𝐝 𝐖𝐢𝐧𝐝𝐨𝐰 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬
* RANK() - gives a rank to each row in a partition based on a specified column or value
* DENSE_RANK() - gives a rank to each row, but DOESN'T skip rank values
* ROW_NUMBER() - gives a unique integer to each row in a partition based on the order of the rows
* LEAD() - retrieves a value from a subsequent row in a partition based on a specified column or expression
* LAG() - retrieves a value from a previous row in a partition based on a specified column or expression
* NTH_VALUE() - retrieves the nth value in a partition
React ❤️ for the detailed explanation
❤18
I see so many people jump into data analytics, excited by its popularity, only to feel lost or uninterested soon after. I get it, data isn’t for everyone, and that’s okay.
Data analytics requires a certain spark or say curiosity. You need that drive to dig deeper, to understand why things happen, to explore how data pieces connect to reveal a bigger picture. Without that spark, it’s easy to feel overwhelmed or even bored.
Before diving in, ask yourself, Do I really enjoy solving puzzles? Am I genuinely excited about numbers, patterns, and insights? If you’re curious and love learning, data can be incredibly rewarding. But if it’s just about following a trend, it might not be a fulfilling path for you.
Be honest with yourself. Find your passion, whether it’s in data or somewhere else and invest in something that truly excites you.
Hope this helps you 😊
Data analytics requires a certain spark or say curiosity. You need that drive to dig deeper, to understand why things happen, to explore how data pieces connect to reveal a bigger picture. Without that spark, it’s easy to feel overwhelmed or even bored.
Before diving in, ask yourself, Do I really enjoy solving puzzles? Am I genuinely excited about numbers, patterns, and insights? If you’re curious and love learning, data can be incredibly rewarding. But if it’s just about following a trend, it might not be a fulfilling path for you.
Be honest with yourself. Find your passion, whether it’s in data or somewhere else and invest in something that truly excites you.
Hope this helps you 😊
❤16👍3