System Analysis – godigitalsphere.com

System Analysis

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Start Date:

05/04/2025

Duration:

32Month

Difficulty

Intermediate

Overview

This course will introduce you to the principles and practices of System Analysis—a vital skill for anyone involved in designing, improving, and managing complex systems. You will learn how to analyze business problems, design solutions, and understand how different components interact within a system. The course provides both theoretical knowledge and practical tools to support system development in a range of industries.

You’ll Learn

Module 1 — Key techniques for analyzing and improving business processes and systems

Module 2 — How to gather, document, and validate system requirements

Module 3 — Methods for modeling systems and their interactions

Module 4 — Approaches to system design and implementation

Module 5 — How to conduct feasibility studies and risk analysis

Module 6 — The role of a systems analyst in a development project

Module 7 — Best practices for managing systems projects

Course Structure

Module 1: Introduction to System Analysis

What is System Analysis?
The role of a systems analyst
Types of systems: Information systems, software systems, and business systems
The System Development Life Cycle (SDLC)
Key methodologies: Waterfall, Agile, and Iterative Development
Overview of system analysis tools and techniques

Module 2: Understanding Business Processes

The relationship between business processes and systems
Techniques for analyzing business processes (e.g., flowcharts, process mapping)
Identifying business problems and opportunities for improvement
Business requirements gathering
Stakeholder analysis and managing requirements
Tools for documenting business processes (BPMN, UML, etc.)

Module 3: Requirements Gathering and Documentation

Methods of gathering requirements: Interviews, surveys, workshops, and observations
Techniques for documenting system requirements
Functional vs. non-functional requirements
Use cases, user stories, and requirement traceability
Validating and prioritizing requirements with stakeholders
Tools for managing requirements (JIRA, Confluence, etc.)

Module 4: System Modeling Techniques

Introduction to system modeling
Entity-Relationship Diagrams (ERD) for database modeling
Data Flow Diagrams (DFD) to represent process flows
Use case diagrams to represent system interactions
UML (Unified Modeling Language) for software and system design
Object-oriented modeling and its applications

Module 5: System Design and Solution Development

Overview of system design principles
High-level design: architectural design, system specifications
Detailed design: database design, user interface design, security considerations
Prototyping and iterative design
Designing systems for scalability, performance, and usability
Integration of hardware and software components

Module 6: Feasibility Analysis and Risk Management

Conducting feasibility studies: Technical, operational, and financial feasibility
Risk assessment and mitigation strategies
Cost-benefit analysis and Return on Investment (ROI)
Tools for feasibility analysis (SWOT, PEST analysis)
Creating and managing risk management plans
Evaluating potential risks during system implementation

Module 7: System Implementation, Testing, and Maintenance

Implementation strategies: Phased, parallel, and big bang approaches
System testing: Unit testing, integration testing, system testing, acceptance testing
Managing the changeover to new systems
Post-implementation support and maintenance
System documentation and training for users
Continuous monitoring and feedback loops for ongoing improvements

Final Assessment

Quiz / Multiple Choice Questions
Practical Scenarios & Case Studies
Certificate of Completion

Instructor

Kathleen Grant (Demo)

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search. And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course. By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.