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每日一练 | Data Scientist & Business Analyst & Leetcode 面试题 277

大数据应用  · 公众号  · 大数据  · 2018-01-19 08:29

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自2017年6月15日起,数据应用学院与你一起温习数据科学(DS)和商业分析(BA)领域常见的面试问题。 从2017年10月4号起,每天再为大家分享一道Leetcode算法题。

希望积极寻求相关领域工作的你每天关注我们的问题并且与我们一起思考,我们将会在第二天给出答案。

Day 177

DS Interview Questions

How would you validate a model you created to generate a predictive model of a quantitative outcome variable using multiple regression?

BA Interview Questions

What is a foreign key?

Leetcode Questions

Description:

  • Given an array of integers, return indices of the two numbers such that they add up to a specific target.
    You may assume that each input would have exactly one solution, and you may not use the same element twice

Input: [2, 7, 11, 15]

Output: [0, 1]

Assumptions:

1. each input would have exactly one solution

2. you may not use the same element twice

3. sorted in ascending order


欲知答案如何?请见下期分解!

Day 176 答案揭晓

DS Interview Questions

What is root cause analysis?


Root cause analysis (RCA) is a method of problem-solving used for identifying the root causes of faults or problems. A factor is considered a root cause of removal thereof from the problem-fault-sequence prevents the final undesirable event from recurring; whereas a causal factor is one that affects an event's outcome, but is not a root cause. Though removing a causal factor can benefit an outcome, it does not prevent its recurrence with certainty.


The 5 Whys is a technique used in the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology. It is a great Six Sigma tool that does not involve data segmentation, hypothesis testing, regression or other advanced statistical tools, and in many cases can be completed without a data collection plan.


The 5 Whys can be used individually or as a part of the fishbone (also known as the cause and effect or Ishikawa) diagram. The fishbone diagram helps you explore all potential or real causes that result in a single defect or failure. Once all inputs are established on the fishbone, you can use the 5 Whys technique to drill down to the root causes.

BA Interview Questions

How to calculate the Customer Lifetime Value (CLV or LTV)?

In the situation where all customers have roughly the same ARPA, and where there is no expansion revenue expected over the lifetime of a customer, you can use this simple formula:

(ARPA is the Average Revenue per Account)

which can also be expressed as follows:

Once again if ARPA is monthly, the churn rate should be monthly.

However in situations where you have widely differing ARPA across the customer base, this would not take into consideration the difference between losing a high value customer versus a low value customer. So a more accurate formula would be:

To truly get an accurate picture of LTV, it is important to also take Gross Margin into consideration. i.e.

Leetcode Questions







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