Unit 2 DB: Preparing Data

As a new data scientist for a selling computers company, you have been asked to provide analytics for an important business initiative. Your data is well-sourced and readily available. You're ready to start digging in - only to discover that the data you were given doesn't match up well.

Data may require some changes before you can use them in the analysis.

1. What techniques will you be using to prepare all the data for analytics?
2. What information do you consider would be important to have in this business initiative?
3. How can you ensure data quality?