Profiling and similarity for digital data analytics

Type of course:

Digital learning, Lesson

Language:

Duration:

16 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Professionals, Students

In this educational nugget we will learn the steps to perform data profiling, and will discuss further analysis steps. Our task is to consider days of household energy consumption, transform raw data into a form, suitable for profiling, create different profiles of energy consumption days and analyse those profiles to get insights.

Learning outcomes

Construct a digital data model to efficiently represent important characteristics of time series data
Perform feature extraction, dimensionality reduction and use similarity analysis techniques, e.g. clustering
Interpret the results of the similarity analysis