SDAM – BCS Professional Certificate in Data Analysis

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  • Code: SDAM
  • Duration: Days 2
  • Price per delegate:
    £1,085 +VAT
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Trained over 60000 delegates

Course delivered by industry expert instructors

Highly competitive pricing

Course Description

The BCS Professional Certificate in Data Analysis equips candidates with essential skills to identify, analyse, and model organisational data rigorously. This updated course covers:

  1. Understanding and defining relevant data items in business systems
  2. Data analytics for informed decision-making

Key components include:

  • Class modelling
  • Data normalisation
  • Advanced data analytics techniques

This certification provides a comprehensive foundation in data analysis, enabling professionals to effectively manage and interpret business data for strategic advantage.

This course serves as an Analytical Skills module for the BCS Advanced International Diploma in Business Analysis.

Pre-requisites

There are no entry requirements for this certification.

Target Audience

This professional certificate is ideal for professionals involved in business change who need to understand and apply data analysis. It's particularly suitable for:

  • Business analysts
  • Systems analysts
  • Technical or solutions architects
  • Customer journey managers
  • Project managers
  • Solution developers

The course offers a practical approach to analysing and modelling data, and serves as an Analytical Skills module for the BCS Advanced Diploma in Business Analysis.

Course Materials

We'll send a printed copy of the latest comprehensive course manual to your home address well before your course begins. Additionally, you'll receive an email with a link to access a digital version of the same manual, ensuring you have both physical and electronic references for your convenience and future use.

Exam

The course prepares delegates for the BCS Professional Certificate in Data Analysis examination. If this course is part of your BCS Advanced International Diploma in Business Analysis programme you have three further modules to choose in addition to already having completed the BCS International Diploma in Business Analysis.

Aspect Details
Type 40 multiple choice and multiple response questions
Duration 90 minutes
Supervised Yes
Open Book No (no materials allowed)
Passmark 26/40 (65%)
Delivery Digital, invigilated online exam

The exam is accessible only at the registered date and time. Candidates with disabilities or special considerations, including English as a second language, may request adjustments or additional time in line with BCS reasonable adjustments policy.

Learning Objectives

Upon completion of the certificate candidates will be able to demonstrate an understanding of:

  • The basics of Data Analysis
  • How to model data using class diagrams
  • How to define data requirements
  • The ways in which data is obtained and recorded
  • How to analyse data for decision-making
  • How data is protected

Course Content

Introduction to Business Information and Data

  • Initial concepts and terminology
    • Information versus data
    • Data analysis versus data analytics
  • Data modelling and data models
    • Conceptual, logical and physical data models
    • Static and dynamic views of data
  • Structured and unstructured data
  • The Data Lifecycle

Modelling Data Using Class Diagrams

  • Classifying elements of substance and their attributes
  • Classes and objects
  • Attributes
  • Associations and multiplicity
    • Types of relationships (one-to-one, one-to-many, many-to-many)
    • Resolving many-to-many relationships
    • Showing multiple roles
  • Aggregation and composition
  • Generalisation
  • Naming conventions
  • Class diagrams

Defining Data Requirements

  • Defining data
  • Metadata (structural, descriptive and statistical metadata)
  • Data definitions
  • Domain definitions
  • Relational data theory
    • Two-dimensional structures
    • Using keys to identify data (primary, foreign, concatenated, compound and hierarchic keys)
  • Normalisation
    • The normalisation process
    • Un-normalised form, first normal form, second normal form, third normal form
    • Relations
    • TNF (Third Normal Form) model
  • Aspects of data quality

Obtaining and Recording Data

  • Identifying sources of data
  • Validating data models using a CRUD matrix
  • Data navigation paths and Data Navigation Diagrams

Analysis for Decision Making

  • A process for data analytics
  • Sourcing datasets
    • Data lineage
  • Validating and cleansing datasets
    • Confirmation bias
    • Sampling
    • Outliers
    • Consistency
  • Dataset calculations
    • Counting
    • Totalling
    • Averaging (mean, median, mode)
    • Maximum and minimum
    • Probability
    • NULL values
  • Identifying meaningful relationships
    • Regression analysis
    • Correlation and causation
    • Time-series analysis and forecasting
  • Interpreting results

Protecting Data

  • The imperative for protecting data
  • CIA (Confidentiality, Integrity and Availability)
  • Data protection principles
  • Data ethics
    • Data ethics principles
  • Online data
   

Dates & Locations

Location Start Date Spaces Duration Price Book Enquire
Virtual Class 03/03/25 09:30 Days 2 £1,085.00
Virtual Class 15/05/25 09:30 Days 2 £1,085.00
Virtual Class 17/07/25 09:30 Days 2 £1,085.00
Virtual Class 04/09/25 09:30 Days 2 £1,085.00
Virtual Class 03/11/25 09:30 Days 2 £1,085.00