Occasionally, you’ll need to be able to use your data to make conclusions or predictions for the future. While some methods of data analysis can be helpful in visualizing or understanding your data, they don’t necessarily give this kind of insight. So, if conclusions or predictions are what you’re going for, you need to use the right methods.

Luckily, there are data-analysis techniques that can help. Inferential and predictive data-analysis techniques are extremely useful, but it’s important to know which method to use, when to use it, and how to apply it, to get it right. This course will take you through an overview of inferential and predictive data analysis, including some examples of these methods, and how they can be helpful for you and your data.

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

• Understand what inferential data analysis is and what it’s used for
• Understand what predictive data analysis is and what it’s used for
• Recognize some key examples of inferential and predictive data-analysis techniques

Why take this course?

It’s important to understand the correct type of analysis for your data to gain the insight you need. By performing the wrong kinds of analysis, you could be wasting time and causing unnecessary frustration and confusion. This course provides an overview of inferential and predictive data-analysis techniques, including what they’re useful for, and some key examples of each. This course is useful for anyone who needs to carry out data analysis.

15 mins | SCORM | Infographic