- How did you train in data science?
- good to mention if you took initiative in self-learning or online courses
- if had formal training at a previous internship, college courses or a bootcamp mention as well as to show have solid and structured programming skills
- What do you do at your current project?
- can give a very brief description what the project is about BUT very important to highlight what contributions you've made (data cleaning, scripts modeling etc.)
- Give an example where you analyzed data and the results came out unexpected. How did you resolve it and thinking back now how would you have done it differently.
- try to use an example that can be easily explained without making it too complicated
- form the solution in a way that it can be used in the future by someone else
- What are you struggling with at the moment and how are you working on it
- Describe your definition of a data analyst versus a data engineer
- How have you seen a mistake in the data before and how have you handled it?
- If you see a mistake in the data set what initial steps do you take to fix it?