
Analyst programmer training
Master the full spectrum of software analysis and programming in one comprehensive training programme. You will bridge business requirements and technical execution, designing systems, writing clean code, and delivering production-ready solutions. This course equips you with the skills employers actively seek in analyst programmer roles today.
What you will learn:
You will learn how to gather and document business requirements, model systems using UML and entity-relationship diagrams, and write structured, maintainable code following clean code and SOLID principles. The course covers relational database design, advanced SQL, and RESTful API development with built-in security. You will apply Agile frameworks, manage product backlogs, and develop technical leadership skills. Supplementary modules extend your expertise into cloud deployment, data engineering, security engineering, and AI-assisted development tools.
How you study in practice Analyst programmer training
How you practise Analyst programmer training
For companies looking to train their teams
With Elevify for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 32 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Analyst Programming
Foundations of Analyst Programming
Lesson 1 • Core Programming Concepts
Introduces variables, control flow, and data structures as universal programming building blocks. Grounds learners before language-specific syntax is introduced.
Lesson 2 • Development Environment Setup
Guides configuration of IDEs, version control, and local toolchains. Ensures every learner has a functional workspace before writing production code.
Lesson 3 • The Analyst Programmer Role
Defines responsibilities bridging business analysis and software development. Sets context for all subsequent technical and analytical skills in the course.
Lesson 4 • Software Development Life Cycle Basics
Covers SDLC phases from initiation to maintenance. Provides the workflow framework used throughout every subsequent chapter.
Chapter 2HideHide detailsSee detailsRequirements Gathering and Analysis
Requirements Gathering and Analysis
Lesson 1 • Functional and Non-Functional Requirements
Distinguishes functional behaviour from quality attributes such as performance and security. Teaches precise specification writing to prevent downstream defects.
Lesson 2 • Elicitation Techniques
Covers interviews, workshops, observation, and surveys as primary elicitation methods. Connects technique selection to stakeholder type and project context.
Lesson 3 • Requirements Documentation and Traceability
Produces structured requirement specifications and traceability matrices. Links each requirement to design and test artifacts for full lifecycle coverage.
Lesson 4 • Stakeholder Identification and Engagement
Maps stakeholder types and their influence on requirements. Establishes communication strategies that reduce scope ambiguity throughout the project.
Chapter 3HideHide detailsSee detailsSystem and Data Modeling
System and Data Modeling
Lesson 1 • UML Structural Diagrams
Teaches class, component, and deployment diagrams for static system structure. Provides the structural blueprint developers use during coding and integration.
Lesson 2 • Data Modeling and Entity Relationships
Constructs entity-relationship diagrams and logical data models. Ensures data structures align with business rules before database implementation begins.
Lesson 3 • UML Behavioral Diagrams
Covers use case, sequence, and activity diagrams to model dynamic system behaviour. Connects behavioural models to requirements documented in the previous chapter.
Lesson 4 • Process and Flow Modeling
Uses flowcharts and data flow diagrams to represent system processes. Builds visual communication skills essential for design reviews and developer handoffs.
Chapter 4HideHide detailsSee detailsStructured Programming and Code Quality
Structured Programming and Code Quality
Lesson 1 • Unit Testing and Test-Driven Development
Writes unit tests before and alongside code using TDD principles. Establishes a safety net that supports refactoring and continuous integration pipelines.
Lesson 2 • Code Review and Refactoring
Conducts structured peer reviews and applies refactoring patterns to improve existing code. Reinforces clean code principles through iterative improvement practice.
Lesson 3 • Clean Code Principles
Applies naming conventions, function design, and comment standards to improve readability. Directly reduces maintenance cost and onboarding time for new team members.
Lesson 4 • Error Handling and Defensive Programming
Implements exception handling, input validation, and fail-safe logic. Prevents runtime failures and improves system resilience in production environments.
Chapter 5HideHide detailsSee detailsObject-Oriented Design and Patterns
Object-Oriented Design and Patterns
Lesson 1 • SOLID Design Principles
Applies the five SOLID principles to evaluate and improve class designs. Reduces coupling and increases cohesion in systems built throughout the course.
Lesson 2 • Creational and Structural Patterns
Implements factory, singleton, adapter, and decorator patterns with code examples. Provides reusable solutions to recurring object creation and composition problems.
Lesson 3 • Behavioral Patterns and Pattern Selection
Covers observer, strategy, command, and template method patterns. Teaches criteria for selecting the right pattern given specific design constraints.
Lesson 4 • Object-Oriented Programming Principles
Covers encapsulation, inheritance, polymorphism, and abstraction with practical examples. Builds the conceptual model required to understand and apply design patterns.
Chapter 6HideHide detailsSee detailsDatabase Design and SQL Programming
Database Design and SQL Programming
Lesson 1 • Relational Database Fundamentals
Covers tables, keys, constraints, and relational integrity rules. Provides the conceptual foundation required before writing any SQL statements.
Lesson 2 • SQL Data Manipulation Language
Teaches SELECT, INSERT, UPDATE, and DELETE with filtering and sorting. Enables learners to perform all standard data operations against relational databases.
Lesson 3 • Stored Procedures and Transactions
Writes stored procedures, functions, and transaction blocks for data integrity. Connects database programming to application-layer logic developed in earlier chapters.
Lesson 4 • Advanced SQL Techniques
Applies subqueries, window functions, and CTEs to solve complex data problems. Builds query optimisation awareness critical for high-volume production systems.
Chapter 7HideHide detailsSee detailsAPI Design, Integration, and Testing
API Design, Integration, and Testing
Lesson 1 • API Documentation and Contracts
Produces machine-readable API specifications and interactive documentation. Enables consumer teams to integrate without direct developer support.
Lesson 2 • API Authentication and Security
Implements token-based authentication, authorisation scopes, and rate limiting. Connects API security to the non-functional requirements defined in earlier chapters.
Lesson 3 • REST API Design Principles
Applies resource naming, HTTP methods, and status codes to design consistent APIs. Establishes conventions that improve developer experience and reduce integration errors.
Lesson 4 • Integration and API Testing
Writes integration tests, mocks external services, and validates end-to-end data flows. Extends unit testing skills from Chapter 4 to multi-component system verification.
Chapter 8HideHide detailsSee detailsAgile Delivery and Technical Leadership
Agile Delivery and Technical Leadership
Lesson 1 • Backlog Management and Prioritisation
Writes and refines user stories, epics, and acceptance criteria for sprint readiness. Connects requirements skills from Chapter 2 to agile delivery workflows.
Lesson 2 • Mentoring and Knowledge Transfer
Applies coaching, pair programming, and documentation practices to grow team capability. Establishes the analyst programmer as a technical leader beyond individual contribution.
Lesson 3 • Agile Frameworks and Ceremonies
Covers Scrum and Kanban structures including sprints, standups, and retrospectives. Positions the analyst programmer as an active contributor within agile teams.
Lesson 4 • Technical Decision-Making and Trade-offs
Evaluates build-vs-buy, technology selection, and architectural trade-offs systematically. Develops judgement needed to advise stakeholders on technical direction.

Your valid completion certificate
This course is for you:
Junior developers: ready to expand beyond coding into analysis and system design.
Business analysts: looking to add hands-on programming skills to their existing toolkit.
IT support professionals: aiming to move into a development or systems role.
Recent computer science graduates: wanting practical, job-ready skills beyond academic theory.
Career changers from operations or finance: bringing domain knowledge into a technical path.
QA testers: seeking to deepen their understanding of software architecture and code quality.
What our students say
Feedback from those who have already studied with us:
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