Where should you start with quantitative data analysis for market research projects? How can you get the most from frequencies and crosstabs? How can you work effectively with data analysts or statisticians who may be supporting your market research projects? What are some of the important predictive options you can consider? 

In this 4-part program, Instructor Cindy Casper will teach the basics of quantitative analysis in a fun, practical way. Includes examples, exercises, and plenty of time for student Q&A. This market research class is ideal for those new to quantitative data analysis. No previous background in statistics is required.  

Note: This class does not include generating data analysis; it focuses on planning for and interpreting data analysis. For conducting data analysis, we offer Intro to SPSS , SPSS 201, and Statistics with R. We also recommend using the many excellent tutorials offered by the statistics software companies.

Upon course completion, you will be able to 

• Summarize survey results by using basic statistics (mean, median, mode, and variability measures)
• Understand the benefits of planning ahead for the data analysis component of a project
  • Understand the benefits of planning ahead for the data analysis component of a project
• Understand data reliability measures (and what a 95% confidence interval really means)
• Read and interpret crosstabs (banner tables)
• Recommend when to use, or not use, weighting
• Choose among several data analysis options for getting the most out of survey data, including regression and tree techniques

Are you able to confidently use basic statistics to summarize customer attitudes and behaviors collected via surveys? If not, this is the class you need.