Descriptive and Exploratory Data Analysis Techniques
Duration15'
No. of mini-lessons5
ResourcesInfographic
Duration 15'
No. of mini-lessons 5
Resources Infographic
Course overview
Big data sets, such as numbers, may not seem like they make sense. Or it could seem they don’t tell you anything useful. That’s because you’ll usually need to perform some sort of analysis to gain any real insight from data. And depending on what you’re looking for, there are different ways you can do this.
Two commonly used forms of data analysis are descriptive and exploratory. Both can be extremely useful for understanding the data in front of you, and are closely linked. Knowing which to use, how, and when, is essential for getting the most out of them. This course will take your teams through an overview of what descriptive and exploratory data analysis are, including some examples of these methods, and how they can be helpful for you and your data.
What's covered
What descriptive data analysis is and what it’s used for
What exploratory data analysis is and what it’s used for
Key examples of descriptive and exploratory data analysis techniques
Why your teams need this course
Understanding the correct type of analysis for your data to gain the insight you need is important. By performing the wrong kinds of analysis, your teams could be wasting time and causing unnecessary frustration and confusion. This course is useful for anyone who needs to carry out data analysis.
Accredited by CPD
TalentLibrary is recognized as reaching the standards and benchmarks required by the Continuing Professional Development (CPD) Certification Service.
The CPD Certification Service is the world’s leading and largest independent accreditation organization for professional development courses across all industry sectors.
