刚收到 fb datascientist analytics 的online interview 邮件
19654
真的想说,不容易!
之前只有staffing company 来找我,慢慢的有fulltime position了,然后阴差阳错有个学长内推了我,然后简历竟然过了,填了一堆基本信息之后竟然到了笔试环节了!!!
对于我这种**来说真的太不容易了,努力还是有收获的!!!
还没定日期,今天才收到的
发个他们给我发的mock interview 题把,等面试之后会在更新或者开帖
在发点邮件里说的考察的技术细节给大家参考!
希望能过!
[align="left"]Mock Data and Questions:
This example doesn't pertain to Facebook but is representative of the data and questions you may see:
An attendance log for every student in a school district
attendance_events : date | student_id | attendance
A summary table with demographics for each student in the district
all_students : student_id | school_id | grade_level | date_of_birth | hometown
Using this data, you could answer questions like the following:[/align]
Core skills
Regardless of your language, you should be familiar with ALL of the following skills[/align]
最后的最后!!!!求!!!积!!分!!!!。。。。
有的东西要180+ 积分根本看不。。心痛
之前只有staffing company 来找我,慢慢的有fulltime position了,然后阴差阳错有个学长内推了我,然后简历竟然过了,填了一堆基本信息之后竟然到了笔试环节了!!!
对于我这种**来说真的太不容易了,努力还是有收获的!!!
还没定日期,今天才收到的
发个他们给我发的mock interview 题把,等面试之后会在更新或者开帖
在发点邮件里说的考察的技术细节给大家参考!
希望能过!
[align="left"]Mock Data and Questions:
This example doesn't pertain to Facebook but is representative of the data and questions you may see:
An attendance log for every student in a school district
attendance_events : date | student_id | attendance
A summary table with demographics for each student in the district
all_students : student_id | school_id | grade_level | date_of_birth | hometown
Using this data, you could answer questions like the following:[/align]
- What percent of students attend school on their birthday?
- Which grade level had the largest drop in attendance between yesterday and today?
Core skills
Regardless of your language, you should be familiar with ALL of the following skills[/align]
- Work with grouping and aggregate functions
- Utilize different types of joins (left, inner, outer, etc.) including when and how to use a self-join
- Append multiple data sources (union in SQL, concat in Pandas, bind_rows in R)
- Filter data by multiple, complex conditions
- De-duplication, sorting, handling missing/incomplete data
- Assess efficiency. This will not be a primary focus, but you may be asked to think of more efficient ideas or to explain why you are making certain efficiency/simplicity tradeoffs
最后的最后!!!!求!!!积!!分!!!!。。。。
有的东西要180+ 积分根本看不。。心痛
- 7
4条回复