Data Scientist Interview Questions

Amparo L. - "The only time I felt unhappy at work was when I didn’t get to pick the job I want to do at the jobsite."See full answer

Gowtami K. - "select a.playername as player1, b.playername as player2, abs(a.level-b.level) as level_disparity from players a cross join players b on a.playername < b.playername where abs(a.level-b.level) <=5 order by level_disparity `"See full answer

Gabriella F. - "Table user is empy....... Problem with this problem "See full answer

Ayushi A. - "total outcomes : 36 total favourable outcomes : 35 probability of favourable outcomes: 35/36"See full answer

Anonymous Roadrunner - "from typing import List def traprainwater(height: List[int]) -> int: if not height: return 0 l, r = 0, len(height) - 1 leftMax, rightMax = height[l], height[r] res = 0 while l < r: if leftMax < rightMax: l += 1 leftMax = max(leftMax, height[l]) res += leftMax - height[l] else: r -= 1 rightMax = max(rightMax, height[r]) "See full answer

Chao peter Y. - "The question is incomplete --- the code only passes if you return the data frame sorted by BOTH department name AND rank. While in the problem description, it mentions to only rank by department name: "The results should be ordered by department name." Not a big difference I know, but students shouldn't need to look into the solution to get the necessary knowledge to answer the question."See full answer

Asish B. - "Number of employees after the first year = n*(1+r) = n1 Number of employees after the second year = n1(1+r) = n(1+r)**2 Hence, the number of employees after 't' years = n(1+r)*t"See full answer

Zacharias E. - "log(xy) = log(x) + log(y), thus log(120) = log(1 2 * 3 * 4 * 5) = log(1) + log(2) + log(3) + log(4) + log(5). The two are equal."See full answer

Trusha M. - "I would recognize the factors that are causing the interference. Then i will use tools like smoothing techniques or algorithms (e.g Kalman filters for time series) which can help isolate genuine trends from noise. In testing i would employ techniqu es like A/B testing to measure interference from unrelated factors and use techniques like regression analysis to seperate the relevant factors from noise."See full answer