Doctoral Academy Programme Bookings

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Exploratory Data Analysis
Domain: A2 Cognitive abilities

TACE: A - Acquisition

Due to the Covid-19 outbreak, all face to face training at the Doctoral Academy has been postponed for the foreseeable future.

Listed below is a selection of external learning resources related to this subject that you may find useful.

Big Data Analytics
Big Data: Data Visualisation
Data Analysis and Interpretation
Data Analysis Essentials
Data Science Foundations: Data Mining
Data to Insight: An Introduction to Data Analysis and Visualisation
Introduction to Data Analysis Using Excel
Introduction to Data Science
Learning Data Analytics
Learning Excel: Data-Analysis
LinkedIn Learning Highlights: Data Science and Analytics
Managing Data Analysis

For more information on identifying and accessing online learning resources click here
For more information on replacement learning events such as webinars and retreats click here


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