As you start thinking about how to prepare your data for exploration, this part of the course will highlight why data integrity is so essential to successful decision-making. You’ll learn about how data is generated and the techniques analysts use to decide what data to collect for analysis. And you'll discover structured and unstructured data, data types, and data formats.

• Describe statistical measures associated with data integrity including statistical power, hypothesis testing, and margin of error
• Describe strategies that can be used to address insufficient data
• Discuss the importance of sample size with reference to sample bias and random samples
• Describe the relationship between data and related business objectives
• Define data integrity with reference to types and risks
• Discuss the importance of pre-cleaning activities

Data integrity and analytics objectives

Overcoming the challenges of insufficient data

Testing your data