Examination

Data Analytic/Science Exercise

Enterprise information management systems
Enterprise Information Management (EIM)
Enterprise Data Analytics (EDA)
Enterprise Data Science (EDS)
Enterprise Architecture (EA)
Enterprise solutions (ES)
Data Analysis Process
Data Analytics Types
Descriptive Analytics – summarize “historical” data
Decision Analytics – distil data into manageable sets to optimise decision-making
Predictive Analytics – forecast future outcomes 
Prescriptive Analytics – identify possible future actions and their effects
Detailed examples of descriptive and decision analytics in practice
The data science process
Raw data collection
Data cleansing
Exploratory data analysis
Machine learning, algorithms, statistical models
Communicate, Visualization, Report findings
Build data product
Cases studies in data analytics/science

Data Science and Analytics - 5124COMP

Data Science and Analytics

Identify and differentiate the component parts of the data analysis process.

Differentiate between the types of analytic approaches available and what each can produce

Distinguish between the component parts of enterprise information management systems and the place and purpose of data analytics and data science within those systems.