CSV - read it in python and Read the the dataset provided and create an extra column "Full Name" in the dataset which concatenates First Name and Last Name Calculate the age of employee's based on date of birth column and add it to the dataset in a new column "Age" Create an "Age classification" column in the dataset based on the rule below and add it as new column to dataset Newborns --> birth to 1 month Infants --> 1 month to 1 year Children --> 1 year through 12 years Adolescents --> 13 years through 17 years Adults --> 18 years or older Older adults --> 65 and older
Reporting Analyst Interview Questions
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My background is more about data analytics, so they specifically ask why do I want to take a role in Operations. Aligning your passion and ambition with the role is critical during the interview process. They would also ask quite a few questions to check your understanding about the tole.
They were particularly keen on interpreting the meaning behind the resume, including separating any potential b.s. from the factual value. One theme that was clear with all of them- while of course giving great answers, it's also key to show confident humility; humblebragging will not work well with most of these guys, as everyone in the room is sharp and accomplished.
what is your experience?
Why did you choose our company?
Tell me about your experience
How faith helps you in life?
What is your greatest weakness?
Explain your resume and experience.
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