The purpose of this exercise is to get you focused on some key questions that may come up during an interview. 🚀

You may not know answers to the questions below, let alone how it works within code. That's okay! Do some research of your own and try to understand the concepts.

Copy the below questions into Microsoft Word, Google Docs, or duplicate the page into your own Notion page. Then under each question write out an answer to the question in 2 - 3 lines.

As you learn more technologies and tools, you can then add to the list below. Over time, you will then build a list of key concepts that you can explain.

1. What is the difference between Data Mining and Data Analysis and Data Profiling?
2. What is the KNN imputation method?
3. What is a Pivot Table, and what are the different sections of a Pivot Table?
4. What do you understand by the term Normal Distribution?
5. What is the statistical power of sensitivity?
6. What is A/B Testing?
7. Explain what is logistic regression?
8. What are the data validation methods used by data analyst?
9. Explain what should be done with suspected or missing data?
10. Explain how you would detect outliers?

...Add your own questions below and keep a list of other interview questions