Data is important. It forms the basis for pretty much everything. From science, to technology, to the running of businesses – it’s everywhere. But analyzing data can seem like a daunting task when you don’t know where to start. Analyzing data is just as important as having the data in the first place. Because what’s the point in having it if you don’t know what to do with it?

When you’re working with data, it’s good to know what kinds of analysis you can do, and which ones will actually tell you what you need. Knowing the difference between qualitative and quantitative data is a good place to start, as they both have their own uses and benefits. This course will give you an overall understanding of the difference between qualitative and quantitative data analysis, and where each might be useful.

By the end of this course, you’ll be able to:

• Understand the difference between qualitative and quantitative data analysis
• Identify the benefits and potential uses for qualitative data
• Identify the benefits and potential uses for quantitative data

Why take this course?

Data is everywhere and, once collected, it’s important to know how to use it to get the insights you need. This course provides an overview of the 2 different types of data analysis, the difference between them, and what each is useful for and why. This course is useful for anyone who works with data that needs any level of analysis to provide insight.

10 mins | SCORM | Infographic