4. Click-through-rates for search ads have
been surprisingly low this week. What
are some steps you could take to find
out why?
这周,搜索⼲⼴广告的点击率直线下滑,你会采取哪些⽅方法找出其
中的原因?
5. How would you design an
experiment to measure the success
of a signup page? What if you had
many variants? Many metrics?
你会如何设计⼀一个实验来测量⼀一个注册⻚页⾯面的有效性?如
果设置很多的变量呢?有很多验证标准呢?
6. Explain to an engineer with no
statistics background how an
A/B test works and what a
confidence interval is?
你会如何向⼀一个没有统计学背景的⼯工程师解释以下两个概
念:如何进⾏行A/B测试?什么是置信区间?
7. What would be some good metrics for
a monthly subscription box product?
Why are these metrics important and
how would they be used?
有哪些好的指标可以衡量⼀一款包⽉月的box product?这些
指标为什么重要?如何使⽤用它们?
8. Is more data always better? What is
the role of making hypothesis
before you dig into data? Is there a
danger to just diving in?
数据越多越好吗?在进⾏行数据挖掘之前,做⼀一个假设是怎
样⼀一个作⽤用?⼀一头钻进数据堆⾥里是否存在⻛风险?
9. How would you explain to an engineer
the importance of randomization in
experimental design?
你如何给⼯工程师解释随机化实验设计的重要性?
10. What would you want to learn if we
gave you unlimited access to our data?
What's one deficiency in our product
and how can it be improved with data?
如果⽆无限制地让你访问我们的所有数据,你想知道些什么?
假设我们的产品存在⼀一个缺陷,你如何通过数据来改善它?
11. (Give a dataset) Play around with this
dataset and tell me what you learn. Can
you make a model to predict this
column?
(准备好⼀一个数据集)请仔细浏览这个数据集,并告诉我,
你看到了什么。你可以做⼀一个模型来预测其中⼀一列嘛?
12. Walk me through the process of a large
dataset that you analyzed recently.
What did you learn?
带我回顾⼀一下你最近分析⼤大型数据集的整个过程。
从中你学到了什么?