This course is intended to enable business analysts to define data requirements with detailed understanding of what is required and a rigorous approach.
The course will provide business analysts with knowledge and understanding of data analysis activities and techniques designed to elicit and analyse data requirements and inherent business rules and how to define the structure of the data to meet business needs.
Key areas of the course include:
Building and understanding two types of data models - Entity Relationship Diagrams and Class Models
Normalisation of data and why this is a useful approach
Validation of data requirements
Examination on the afternoon of day 2
Please do note that the course timetable is designed to include coverage of new content up to around mid-afternoon on day 2. Delegates should be prepared to spend around 1 -2 hours in the evening on homework and revision activities. This may include activities set by the instructor as appropriate.
This certification is relevant for anyone wishing to gain an understanding of data analysis and techniques that maybe be applied when analysing business data. It is likely to be of benefit to business analysts, systems analysts and technical architects and solution architects. Project managers working on data-oriented projects may also find it a useful certification Note that if you are intending to work towards the BCS Advanced Diploma in Business Analysis then you must already have the International Diploma in Business Analysis.
This certification is relevant for anyone wishing to gain an understanding of data analysis and techniques that maybe be applied when analysing business data. It is likely to be of benefit to business analysts, systems analysts and technical architects and solution architects. Project managers working on data-oriented projects may also find it a useful certification
Note that if you are intending to work towards the BCS Advanced Diploma in Business Analysis then you must already have the International Diploma in Business Analysis.
Define data analysis as a tool for a business analyst
Explain the purpose of data analysis and modelling
Identify the components of different data modelling techniques
Interpret a data model
State business rules within data analysis artefacts
Define the process and rules used to derive third normal form
Evaluate data sets against normalisation rules
Prerequisites for Data Analysis
This 2-day specialist course leads to the BCS Professional Certificate in Data Analysis.
An understanding of projects would be useful but is not essential.
Prerequisites for including this course as part of the Advanced Diploma in Business Analysis:
If you are planning to work towards obtaining the Advanced Diploma then you must already hold the BCS International Diploma in Business Analysis and provide further evidential criteria, see below for details.
How do you obtain the Advanced Diploma?
Anyone who holds the BCS International Diploma in Business Analysis can begin working towards the BCS Advanced Diploma. There are three elements to be achieved in order to be awarded the Advanced Diploma:
Gain certifications in four subject areas across three skill domains
Provide evidence of a minimum of five years' experience in business analysis
Provide evidence of engaging with the BA community.
Concepts and Principles of Data Analysis and Modelling
Definitions of terms – data, data analysis, data model
Rationale for analysing and modelling data
Techniques used in data analysis:
Entity relationship modelling
Analysis class modelling
Normalisation Approaches to data analysis and modelling:
Derived from business needs: 'top-down'
Derived from data sources: ' bottom-up Application of data analysis artefacts:
System modelling (existing and required)
Communication and training
Entity Relationship Modelling
Content of an entity relationship model
Identification of entities and attributes
Entity types and entity occurrences
Attribute types and attribute occurrences
Simple and compound keys
Cardinality (1:1, 1:M, M:M)
Super-types and sub-types
Normalisation process and rules:
First normal form (FNF)
Second normal form (SNF)
Third normal form (TNF)
Definition of the TNF tests
Rationalisation of TNF results from multiple data sources
Development of the TNF model
Analysis Class Modelling
Objects and classes
Structure of a class: name, attributes, operations
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.