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This is the free first lesson. Get full access — request a demo or sign in.
Regardless of where your organization is in their marketing research journey, this course will allow you to gain an understanding of the most effective data collection and analysis methods used. For example, as a consumer, you are probably aware of the basic survey requests you may get on a payment receipt. But are you aware of all that goes into this simple survey request? Countless hours are spent on survey design, eliminating bias in the survey, determining what data to collect, and how to go about analyzing customer responses to make informed decisions.
In this course, we’ll take a deep dive into all things data: the various ways of collecting it, strategies for avoiding bias, and how to analyze it and transform it for use. We will start with a review of data types, discuss techniques to collect data, and then review methods of analysis. All of these phases are essential not only for gathering insights, but also for making informed decisions that positively affect your business.
You will learn to compare measurement methods for advanced market research, identify bias and its impact, evaluate primary and secondary data collection techniques, explain the advantages and disadvantages of quantitative and qualitative research, and transform raw data into useful information.
This course is designed for anyone in an organization, regardless of where they are in their marketing research journey, who wants to understand effective data collection and analysis methods.
The course covers market research questionnaires and avoiding bias, types of data in market research and analysis, and transforming raw data for use, structured around collecting data, avoiding bias, and analyzing it.
Yes. It covers strategies for avoiding bias, including identifying bias and its impact on marketing research and a dedicated lesson on avoiding bias in market research questionnaires.
The course includes lessons starting with an Introduction, followed by Market Research Questionnaires, Avoiding Bias, Types of Data in Market Research and Analysis, Transforming Raw Data for Use, and a Test Your Knowledge assessment.