
Data dominates today’s world and informs decisions across organizations. Discover the fundamentals of gathering data to support decision making in quantitative data analysis.
Explore the quantitative data gathering process, covering sampling, data collection methods, and the pros and cons of surveys within quantitative research design.
Identify the scales of measurement to choose appropriate questionnaire types and explain open-ended, Likert, semantic differential, multiple-choice, rank-order, and dichotomous questions.
Examine how variable count and data distribution influence choosing quantitative data analysis, and review key tests like t test, correlational tests, ANOVA, and chi-square.
The world has become data-driven today. Every decision is data-oriented and organisations are spending millions of dollars to carve out best possible strategies to develop a solid data framework. The word data however, is complex and has many facets of it eg. statistical data, mathematical data, programming data. In this fundamental course, you will get a comprehensive knowledge on the statistical data. You will be introduced with quantitative data fundamentals and also learn where to start when it comes to analysing quantitative data. The course touches the basic topics of quantitative data such as - quantitative designs, level of analysis, measure of analysis which all will add to your foundational knowledge of quantitative data analysis. After completing this course, you will become competent to decide which type of statistical analysis is appropriate depending on the nature of statistical topic. The course also comes with quizzes, exercise files and links to relevant websites from where you can pull up tons of information on quantitative data analysis. So dive in and explore the course to become a quantitative data savvy!