Doctoral Academy Programme Bookings


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Details
Exploratory Data Analysis
Domain: A2 Cognitive abilities

TACE: A - Acquisition

Format: Workshop, IT
Suitable for: All

There is a pressing need for techniques to help us understand highly multivariate data with large numbers of cases and/or a variety of data types. This training introduces Exploratory Data Analysis (EDA) – a framework for seeking hypotheses which complements conventional statistical testing (Confirmatory Data Analysis) – and provides an opportunity to try out EDA techniques. Data visualization – a key component of EDA - shows us a ‘big picture’ of a dataset to discover its internal structure, and in the words of John Tukey ‘forces us to notice what we never expected to see’. On completing the course, you will:

* be aware of the EDA framework as complementary to confirmatory analysis
* have an understanding of how data visualization tools can help us interpret a variety of data sets
* have experience of newer techniques for depicting data sets with multiple variables and/or large numbers of cases to find relationships, clusters and outliers

Additional coaching opportunities are available via weekly data clinics.

More information on this subject may be available on the range of online learning resources such as Linkedin Learning

Presenters
Dr Peter Morgan


Sessions
18/03/2020 (Wednesday) / 12:50 - 16:00 / IT Room (DA 5.13), 5th Floor, Friary House
available after 01/01/2020