The interview process includes four rounds:
An HR round to assess cultural fit, an aptitude round testing logical and analytical abilities, a technical round focusing on data analyst skills such as Excel and Python basics, and a final manager round to evaluate your overall suitability for the role.
Interview questions [1]
Question 1
1. What are the differences between lists and tuples in Python, and how does this distinction relate to Pandas operations?
2. What is a DataFrame in Pandas, and how does it differ from a Series?
3. Can you explain how to handle missing data in Pandas, including the difference between 'fillna()' and 'dropna()'?
4. Describe the process of renaming a column in a Pandas DataFrame.
5. What is the purpose of the 'groupby' function in Pandas, and provide an example of its usage?
1. Picture this: Netflix has seen a decline in the number of new subscribers from urban areas but an uptick from rural regions. Frame a strategy to leverage this trend and ensure consistent growth across both demographics.
2. Uber is contemplating launching a new service named "Uber Tours" in major tourist cities. This would be a guided tour using an Uber. Define the critical metrics you'd consider to gauge the initial success of this service.
Python code for
Armstrong number
Prime number
Palindrome
