BCS Certificate in Business Analysis Practice

This Business Analyst Course is to get an understanding of the most common fundamental dimensions of business analysis. The course enables one to have the capability to understand different business strategies and use tactful techniques to analyse certain business areas.

The course is designed to provide delegates with the knowledge in Data Analysis comprises fundamental principles, concepts and Techniques used to identify, analyse and model data. 

Candidate will be able to hold and apply strong data analytical skills and gain industry recognition as a professional business analyst. This also includes identifying & implement changes as per different business needs to meet identified & recurring challenges.

Course Content:

• Distinguish between entity types and entity occurrences; objects and classes & Interpret data model extracts.
• Evaluate conformance between data analysis artefacts and requirements.
• State the business rules defined within data analysis artefacts. Also, define the rules used to derive third normal form relations from unnormalized data. Also, evaluate data sets against normalisation rules.
• Concepts and principles of Data analysis and Modelling:
• Definitions of terms – data, data analysis, data model.
• The rationale for analysing and modelling data along with Techniques used in data analysis.
• Entity relationship modelling, Analysis class modelling along with Normalisation.
• Approaches to data analysis and modelling derived from business needs: ‘top-down’ & from data sources: ‘bottom-up’.
• Application of data analysis artefacts with Business modelling, System modelling (existing and required).
• Impact analysis.
• 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
• Relationships
• Cardinality (1:1, 1: M, M: M)
• Optionality, Exclusivity, Recursion & Naming relationships
• Super-types and sub-types.
• Rationalising Data:
• Normalisation process and rules
• Unnormalized form (UNF)
• 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
• Associates and multiplicity
• Naming associations
• Generalization
• Validation techniques:
• Cross-referencing matrices: CRUD matrix
• Data navigation paths

Delegates Will Learn How To:

• After completing the course delegates will have a learning of defining an approach to improve business systems.
• Defining the development of a business strategy.
• Using various techniques for business system's analysis and modelling.
• Explaining certain ways to investigate an organisation’s business modus.
• Describing the contents of a stern business case for the implementation of business changes resulting in business development.
• Utilising strategic analysis techniques.
• Learning how correct recommendations can be identified for business improvement plans.
• Explaining & understanding the significance of stakeholder management and using stakeholder analysis techniques.
• Defining the need & importance of project discipline.
• Identifying benefits, impacts, cost and risks involved while choosing an option in business cases.