Organisational domain(s) and key business processes
Methods to use analytics to tell the story of the data
Methods to use exploratory visual analysis and predictive modelling
Methods to identify and prioritise the problems to be solved
Methods to develop prototype algorithms
Methods to build a data model
Methods to use data mining to discover new business insights
Methods to interpret patterns in data and their relevance to business issues
Range of established and novel tools and techniques used in developing new business insights
Methods to apply complex software tools to analyse data
Use of statistical techniques, experimental techniques, and hypothesis testing
Apply predictive data modelling techniques to identify underlying trends and patterns in data using statistical computing tools, methods and procedures
Identify patterns across multiple data sets to derive insights
Develop prototype algorithms and proof of concept demonstrations
Make decisions about which patterns are meaningful, and which to further analyse
Assemble data aggregations to build data models to help test problem hypotheses
Use machine learning techniques to gain new insights from data
Mine data to find relevant insights to develop ongoing improvements
Asses the business insights presented to determine impact of insights on organisation
Manage the creation of interactive visualisations of data and data study outcomes
Use industry standard tools and techniques for data visualisation in line with organisational procedures

DC-FSDA: Foundation Of Statistics For Data Analytics