This Level 4 course aims to equip professionals with the knowledge about the skills and practical behaviours which are required for them to step into a leadership/management role. The demand for management roles is expected to grow in the coming years. This is due to a number of factors, including: The ageing population, which is leading to a shortage of skilled workers. The increasing complexity of businesses requires more managers to oversee operations. The growing importance of technology is creating new opportunities for managers to lead and innovate.
ISTQB® FOUNDATION TRAINING COURSE (2 persons minimum) The aim of this course is to provide you with the knowledge and skills to pass an exam certifying you as an ISTQB® Certified Tester - Foundation Level. Most organisations require this certification as a minimum skill requirement for software testers. In this course you will learn a standardized approach to software testing that will be immediately applicable to your projects. In order to get the certification you will be required to pass a 60-minute exam. Our trainers will fully prepare you by employing scenarios that mirror the exam questions, and by focusing course delivery with a balance of theory and practice. Target group: Functional Tester, Agile Tester, User Acceptance Tester, Test Automation Specialist, Performance Testing Specialist, Testing Team Lead, Test Manager, Business analyst Prerequisites: There are no specific prerequisites for this course. This course is suitable for anyone involved in software testing. Duration: 3 days. Training objectives: Learn aspects of test planning, estimation, monitoring and control. Understand and use international standards and terminology. Understand and implement effective testing techniques. Be well prepared for the exam. Identify the missing testing skills for the career development purposes. This course covers the following areas: Fundamentals of software testing Testing throughout the life cycle (software development models, test levels, test types) Test design techniques (e.g. specification-based or black-box techniques, structure-based or white-box techniques) Static testing (static testing techniques, review process, tool-assisted static analysis) Test management (test organisation, test planning and estimation, test progress monitoring and control, risks) Tools to support testing (types, benefits and risks) Language: English
Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence
This practitioner-level 4 award encourages individuals in IT and technical roles to explore the many teams, ideas, and functions within an organisation and maximise their contribution. You will achieve this by learning the key concepts and considering behaviour and response in different scenarios.
Business Intelligence: Virtual In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence
Duration 2 Days 12 CPD hours This course is intended for This course has been expressly designed for the Business Analyst, Business System Analyst, System Analyst, and/or Requirements Engineer. The Designer, Developer and Tester who are actively involved in utilizing use cases may also benefit from this workshop. Overview Employ use cases to elicit requirements, at a business, system or subsystem levelEmploy use cases to document the scope of a projectWrite use cases in a clear and unambiguous way.Model use cases with workflow diagramsPlan and divide up the project work based on your use casesManage a use case as it evolves over time and goes through many changes This course provides a strong foundation in the mechanics of use case diagramming and writing textual descriptions of use cases. In this highly interactive workshop, you will learn how to enhance and refine your use case skills, how to involve your stakeholders in the use case process, and how to develop use cases that provide valuable information to the designers and testers. Use cases that meet the needs of designers can be too technical and too detailed for other stakeholders. Use cases that satisfy business users are usually not very helpful to designers and testers. How do you satisfy these two disparate interests? And how do you handle the details like business rules, data validations and user interface specifications? Introduction Course objectives Understanding of business analysis Knowledge areas of BABOK© Guide Overview of Use Cases Describe the purpose and value of a use case approach Use case terminology Introducing a use case approach Needs Assessment Purpose of Needs Assessment Needs Assessment and use cases Defining and understanding the strategic goals and objectives Understanding the business process Identifying actors Identifying business information Analyzing locations and operations Drawing the business use case diagram Building the business architecture Defining solution options Defining System Scope Product scope/project scope System actors versus business actors Analyzing the business process model Analyzing business use cases Identifying candidate use cases Identifying scenarios Diagramming use cases Draw a use case diagram Create a use case catalog Evaluating, Prioritizing, and Packaging Use Cases Iterative nature of this work Evaluating use cases Use case priority Use case risk Use case complexity Use case dependencies Evaluate and Prioritize use cases Dividing work up between releases Packaging A process for how to perform packaging Writing the Main Success Scenario Use case descriptions Primary and secondary goals Assumptions Pre-conditions Triggers Post-conditions Scenario example Main success scenario Conditional execution Use cases and requirements Best practices for writing a use case description Writing the Other Scenarios Scenarios and flows Alternate scenarios and flows Alternate vs. basic flow Guidelines for alternate flows Exception flows Failed post conditions Write alternate and exception flows Process Modeling to Describe Use Case Flows UML© Activity Diagram Notation Sequencing activities Developing an activity diagram Facilitated sessions Draw a UML© Activity Diagram Using Advanced Diagramming Techniques Commonality Dependency Relationships Identify relationships Comparing the different relationships Developing a Requirements Specification Requirements and use cases Detailed requirements Common approaches to specifications Non-functional requirements Write non-functional requirements User interface requirements UI data descriptions Business rules Decision tables and inference rules How to document simple calculations Reporting requirements Data requirements Data accessibility requirements Traceability Course Summary Wrap-up Finding more information Additional course details: Nexus Humans BA28 - Requirements Analysis and Use Cases training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the BA28 - Requirements Analysis and Use Cases course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
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This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.
This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.