BCS Data Analysis Course

Overview Learning objectives What you’ll learn Key facts FAQs What our customers say Get in touch

Course Overview

The BCS Data Analysis course develops practical skills in analysing, modelling and interpreting business data. Aligned to the BCS Professional Certificate in Data Analysis, the course covers data modelling, normalisation, data analytics and data quality techniques used to support business decision-making. You’ll learn how to apply structured data analysis approaches that improve the reliability, usability and value of organisational data within modern business environments.

Practical data analysis skills for business professionals

This two-day course is designed for professionals who need to understand, structure and analyse business data effectively. You’ll explore data modelling techniques, data analytics concepts and methods for defining reliable data requirements. The course is suitable for business analysts, project professionals and solution development teams looking to strengthen analytical capability and apply data evaluation techniques more effectively within business environments. Successful completion also supports progression towards the BCS International Advanced Diploma in Business Analysis.

Learning objectives

Distinguish data from information
Understand data analytics principles
Create UML class diagrams
Apply data normalisation techniques
Define effective data requirements
Validate data models
Analyse business datasets
Interpret analytical results
Understand data protection principles
Apply ethical data practices

What you’ll learn

You’ll learn how to structure, model and interpret business data using recognised data analysis and analytics techniques. The course explores UML class diagrams, normalisation, metadata, data validation and dataset evaluation methods used within business systems. You’ll also examine data quality, data protection and analytical approaches that help organisations use data more effectively within operational and strategic environments.

Business information and data

Explore the relationship between data and information, including structured and unstructured data concepts. You’ll examine how data analysis and data analytics support business operations and decision-making, while developing an understanding of data lifecycles and the role of data modelling within business systems.

Data modelling techniques

Learn how to create and interpret UML class diagrams used to represent business data structures. Topics include relationships, associations, multiplicity, aggregation, composition and generalisation, helping you model business requirements clearly and consistently.

Defining data requirements

Develop practical skills in defining and structuring data requirements using metadata, relational data concepts and normalisation techniques. You’ll explore how effective data definitions support data quality, consistency and reliable system design.

Data analysis for decision-making

Understand techniques used to analyse datasets and support business decisions. You’ll examine areas including sampling, regression analysis, forecasting, identifying relationships in data and interpreting analytical outcomes within business environments.

Data quality and protection

Learn how organisations validate, manage and protect data effectively. The course introduces data quality concepts, data validation approaches, CRUD matrices and core data protection and ethical principles relevant to modern organisations.

What’s included

BCS Data Analysis training
BCS Data Analysis exam
All course materials
Further optional extras, including Pass Protect, available at checkout

Key facts

Certification

This course prepares you for the BCS Professional Certificate in Data Analysis and contributes towards the BCS International Advanced Diploma in Business Analysis.

Who it's for

This course is suitable for business analysts, customer journey managers, project managers and solution developers involved in analysing and modelling business data.

Prerequisites

There are no formal prerequisites for this training course.

Exam information

The exam consists of 40 multiple-choice questions with a pass mark of 26 out of 40. Remote examination through the BCS online proctoring service is available.

Optional extras

Pass Protect exam insurance.

Pre-course

There is no pre-course work for the BCS Data Analysis course.

FAQs

This course introduces practical techniques for analysing, modelling and interpreting business data. It covers data structures, analytics concepts, normalisation and data quality approaches used to support business systems and decision-making in professional environments.

How can this course help me in my current role?

This course develops practical skills in analysing, modelling and interpreting business data, helping you work more effectively with data requirements, business systems and analytical activities. You’ll gain techniques that can improve the quality, consistency and usability of data within day-to-day business and project environments.

Does the course cover data analytics techniques?

Yes. The course covers both traditional data analysis and data analytics concepts. You’ll explore techniques used to interrogate, validate and interpret datasets, including sampling, regression analysis, forecasting and identifying relationships within data to support business analysis activities.

Will I learn how to create data models?

Yes. The course introduces practical data modelling techniques using UML class diagram notation. You’ll learn how to define classes, attributes, relationships and associations to represent business data requirements clearly and consistently within business systems.

Is the BCS exam included?

Yes. The course includes preparation for the BCS Professional Certificate in Data Analysis exam. The exam can be taken remotely using the BCS online proctoring service for eligible learners.

What our customers say

"Rosie was an excellent tutor who clearly knows her stuff! I thoroughly enjoyed the course and the content, however the course could benefit from more dynamic content. Too many slides and not enough practical elements are the only complaints I had."

Marion Barrie, Lecturer, Fife College

"An incredible and lovely trainer with a very positive attitude."

Eduard Corcioava, Test Analyst, Oracle

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