Handle Missing Survey Data Values in Google Sheets

You have probably heard the expression “garbage in and garbage out.” When it comes to having confidence in a data set, “garbage in” refers having poor data quality. Poor data quality translates to poor quality or low confidence in the insights mined from the data. How do we shore up the data quality of a survey data set so we can have confidence in using that data for decision-making? We apply Exploratory Data Analysis or EDA methodology to identify strategies to handle and replace missing values.

In your Handle Missing Survey Data Values in Google Sheets project, you will gain hands-on experience conducting EDA, identifying strategies for handling missing values, and replacing missing values in a survey data set. To do this you will work in the free-to-use spreadsheet software Google Sheets.

By the end of this project, you will be able to confidently handle missing values in a survey data set to aid in shoring up the data quality and confidence in using the data for decision-making.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.