Description:

This course is designed to help understand best practices for survey results analysis and reporting – dealing with missing values, making estimates, combining data from different sources, and selecting the right reporting method to share insights gained through surveys.

Long Description:

“Enhance your survey analysis and reporting skills with our ‘Survey Analytics Reporting’ course. Delve into the best practices for handling missing values, making estimates, and blending data from various sources to present valuable insights gathered from surveys. By the course’s conclusion, you’ll be well-versed in utilizing established statistical methods to transform survey responses into actionable marketing decision support. Explore techniques such as factor analytics, cluster analysis, discriminant analysis, and multi-dimensional scaling. Elevate your survey analysis and reporting capabilities and unlock the potential of data-driven marketing.”

Course Code/Duration:

BDT60 / 1 Day

Learning Objectives:

After this course, you will be able to:

• Assess and improve data quality.
• Effectively handle missing data in your analyses.
• Understand and implement cluster sampling techniques.
• Visualize survey data for better insights.
• Apply basic statistical concepts, including sample mean and covariance, to your data analysis tasks.