40 Business Analyst courses in Liverpool

PMI-PBA® Exam Prep: In-House Training The course provides targeted exam preparation support for PMI®'s Professional in Business Analysis exam candidates, including a content review of The PMI Guide to Business Analysis, a review of the PMI-PBA® reference books, and an exam preparation tutorial. You will be given a Study Guide that you can re-use to assess your knowledge gaps as part of your Personal Action Plan. Your score on this for each Knowledge Area can be compared to your results on the quiz at the end of each course module to guide your study efforts. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure, content and framework of The PMI Guide to Business Analysis Explain the six Knowledge Areas of The PMI Guide to Business Analysis, as well as, their inter-relationships with each other and the six Process Groups Differentiate among the five business analysis domains in the project life cycle Create a personal action plan to study and prepare for the PMI-PBA® Exam Getting Started PMI-PBA Examination Certification Process The Credential Examination Foundation Concepts for PMI-PBA® Prep Business analysis terminology and definitions Business analysis project, program, and portfolio management Product and project life cycles Skills and qualities of a business analyst Introduction to Business Analysis in Projects Business analysis overview How organizations implement business analysis Business analyst and project manager relationships Requirements definitions and types Practice quiz On-Demand Segment A: Define the Business Problem (Pre-work for Needs Assessment) Needs Assessment Review Needs Assessment knowledge area Identify problem or opportunity Assess current and future state Determine options and provide recommendations Facilitate product roadmap development Assemble business case Practice quiz Stakeholder Engagement Review Stakeholder Engagement knowledge area Identify Stakeholders and conduct analysis Determine Stakeholder engagement and communication approach Conduct business analysis planning Practice quiz On-Demand Segment B: The Elicitation Plan (Pre-work for Elicitation) Elicitation Review Elicitation knowledge area Determine Elicitation approach Preparing for Elicitation Conducting Elicitation Confirming Elicitation results Practice quiz On-Demand Segment C: Overview of Requirements Analysis (Pre-work for Analysis) Analysis Review Analysis knowledge area Determine Analysis approach Create and analyze models Define requirements and acceptance criteria Verify, validate, and prioritize requirements Identify and analyze product risks Assess product design options Practice quiz Traceability and Monitoring Review Traceability and Monitoring knowledge area Determine Traceability and Monitoring approach Establish relationships and dependencies Select and approve requirements Make changes to requirements and other product information Practice quiz Solution Evaluation Review Solution Evaluation knowledge area Evaluate solution performance Determine solution evaluation approach Evaluate acceptance results and address defects Obtain solution acceptance for release Practice quiz Exam Application and Preparation Process Applying for the Exam Studying for the Exam Sitting for the Exam Reviewing your Knowledge Gap Practice Exam Study Guide - a reliable learning aid Summary and Next Steps Crystallizing the Business Analysis Domains Developing a Personal Action Plan for Exam Study

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

Use Cases for Business Analysis: In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

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Certified Business Analysis Professional™ (CBAP®) Boot Camp: In-House Training The course provides targeted exam preparation support for IIBA® Level 3 - CBAP® exam candidates, including both a BABOK® Guide Version 3.0 content review and exam preparation tutorial. The class is interactive, combining discussion, application of concepts, study tips, and a practice exam. Knowledge Check quizzes and self-assessments allow candidates to identify areas of weakness and create a custom study plan tailored to their individual needs as well as study aids to support their exam preparation after the course. The course materials include a copy of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) Version 3.0. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure and content of the IIBA® BABOK® Guide Improve their probability of passing the Level 3 - CBAP® Exam Identify their knowledge gaps through the use of module Knowledge Check quizzes Gauge their readiness for taking the exam by IIBA® BABOK® Guide Knowledge Are Foundation Concepts for IIBA® CBAP® Prep IIBA® - the Organization Business Analysis - the Profession Knowledge Check Terminology and Key Concepts IIBA®'s BABOK® Guide - the Standard Underlying Competencies BA Techniques Business Analysis Planning and Monitoring Knowledge Check Overview BAP&M Tasks BAP&M Techniques Elicitation and Collaboration Knowledge Check Overview E&C Tasks E&C Techniques Requirements Life Cycle Management Knowledge Check Overview RLCM Tasks RLCM Techniques Strategy Analysis Knowledge Check Overview SA Tasks SA Techniques Requirements Analysis and Design Definition Knowledge Check Overview RA&DD Tasks RA&DD Techniques Solution Evaluation Knowledge Check Overview SE Tasks SE Techniques Exam Preparation Practice Exam and debrief Exam Preparation Study Tips Manage Study Plan Exam Process Exam day

Overview This course is specially designed to increase the fundamental knowledge of business analysts and their roles and functions more efficiently. In this course, participants attain skills and knowledge of efficient ways to approach, the best methods to elaborate the supplies for business system projects.

Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.

About this Training Course More energy companies today are setting ambitious net-zero targets and are expected to pour billions into the voluntary carbon offset market by the end of this decade. To get to net zero emissions, companies will need to balance emissions with nature and technology-based offsets. Markets are the best tool for connecting carbon sources and sinks. Many countries will not have enough supply inside their borders and will need to co-operate with those who have extra greenhouse gas removal potential. The energy industry is in search of effective climate tools as pressure mounts from investors and consumers for more progress on fighting rising emissions. Corporations fighting to cut their carbon footprint have for years focused on internal reduction measures. Many are now adding to that effort by turning to carbon credits, a process made easier as verification and registration tools mature. One particular category of carbon offsets leads the way: high-quality, nature-based carbon credits. These represent the largest category of carbon credit projects in the voluntary carbon market, comprising nearly half of credits issued. Public concern about this practice focused on the additionality, leakage, and integrity of carbon offsets that are created through reforestation, land preservation, carbon capture and other projects. Lack of standardization and government regulation has also increased uncertainty for all participants in carbon markets, creating risks for developers of credit-generating projects and offset purchasers. Demand for higher-quality offsets will value projects that were subjected to due diligence and rely upon reputable third-party verification. Companies purchasing offsets generated by permanent and quantifiable projects will therefore be in the best position moving forward. In this highly interactive training course, your course instructor will guide you through the latest developments and best procurement practices to successfully operate in the voluntary carbon market. Training Objectives At the end of this course, the participants will be able to: Discover the current state of the carbon economy Gain insights into the voluntary carbon market Learn about the different type carbon credits available Examine how companies can reach net zero target by using carbon offsets Uncover best practices in carbon credit procurement strategy Learn the pricing dynamics carbon credits Examine how to identify and ensure high quality credits Obtain key learning from flawed carbon offset projects Target Audience This course is intended for: Energy transition team leaders Carbon credit procurement professionals ESG strategy team leaders Finance and accounting professionals Low carbon business analysts or economists Corporate business sustainability professionals Legal, compliance and regulatory professionals Carbon trading professionals Course Level Intermediate Trainer Your expert course leader is a skilled and accomplished professional with over 25 years of extensive C-level experience in the energy markets worldwide. He has a strong expertise in all the aspects of (energy) commodity markets, international sales, marketing of services, derivatives trading, staff training and risk management within dynamic and high-pressure environments. He received a Master's degree in Law from the University of Utrecht in 1987. He started his career at the NLKKAS, the Clearing House of the Commodity Futures Exchange in Amsterdam. After working for the NLKKAS for five years, he was appointed as Member of the Management Board of the Agricultural Futures Exchange (ATA) in Amsterdam at the age of 31. While working for the Clearing House and exchange, he became an expert in all the aspects of trading and risk management of commodities. In 1997, he founded his own specialist-consulting firm that provides strategic advice about (energy) commodity markets, trading and risk management. He has advised government agencies such as the European Commission, investment banks, major utilities and commodity trading companies and various energy exchanges and market places in Europe, CEE countries, North America and Asia. Some of the issues he has advised on are the development and implementation of a Risk Management Framework, investment strategies, trading and hedging strategies, initiation of Power Exchanges (APX) and other trading platforms, the set-up of (OTC) Clearing facilities, and feasibility and market studies like for the Oil, LNG and the Carbon Market. The latest additions are (Corporate) PPAs and Artificial Intelligence for energy firms. He has given numerous seminars, workshops and (in-house) training sessions about both the physical and financial trading and risk management of commodity and carbon products. The courses have been given to companies all over the world, in countries like Japan, Singapore, Thailand, United Kingdom, Germany, Poland, Slovenia, Czech Republic, Malaysia, China, India, Belgium and the Netherlands. He has published several articles in specialist magazines such as Commodities Now and Energy Risk and he is the co-author of a book called A Guide to Emissions Trading: Risk Management and Business Implications published by Risk Books in 2004. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

ITIL® 4 Specialist: High Velocity IT: In-House Training The ITIL® 4 Specialist: High-Velocity IT module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: High-Velocity IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This module addresses the specifics of digital transformation and helps organizations to evolve towards a convergence of business and technology, or to establish a new digital organization. It was designed to enable practitioners to explore the ways in which digital organizations and digital operating models function in high-velocity environments. Working practices such as Agile and Lean, and technical practices and technologies such as Cloud, Automation, and Automatic Testing are included. What You Will Learn At the end of this course, participants will be able to: Understand concepts regarding the high-velocity nature of the digital enterprise, including the demand it places on IT. Understand the digital product lifecycle in terms of the ITIL operating model. Understand the importance of the ITIL guiding principles and other fundamental concepts for delivering high-velocity IT. Know how to contribute to achieving value with digital products. Course Introduction Let's Get to Know Each Other Course Learning Objectives Target Audience Characteristics ITIL® 4 Certification Scheme Course Components Course Agenda Module-End Exercises Exam Details Introduction to High-Velocity IT High-Velocity IT Digital Technology Digital Organizations Digital Transformation High-Velocity IT Approaches Relevance of High-Velocity IT Approaches High-Velocity IT Approaches in Detail High-Velocity IT Operating Models Introduction ITIL® Perspective High-Velocity IT Aspects High-Velocity IT Applications ITIL® Building Blocks for High-Velocity IT Digital Product Lifecycle Service Value Streams Four Dimensions of Service Management ITIL® Management Practices High-Velocity IT Culture Key Behavior Patterns ITIL® Guiding Principles Supporting Models and Concepts for Purpose Ethics Design Thinking Supporting Models and Concepts for People Reconstructing for Service Agility Safety Culture Stress Prevention Supporting Models and Concepts for Progress Working in Complex Environments Lean Culture ITIL® Continual Improvement Model High-Velocity IT Objectives and Techniques High-Velocity IT Objectives High-Velocity IT Techniques Techniques for Valuable Investments Prioritization Techniques Minimum Viable Products and Services Product / Service Ownership A/B Testing Techniques for Fast Developments Basic Concepts Related to Fast Development Infrastructure as Code Reviews Continual Business Analysis Continuous Integration / Continuous Delivery (CI/CD) Continuous Testing Kanban Techniques for Resilient Operations Introduction to Resilient Operations Technical Debt Chaos Engineering Definition of Done Version Control Algorithmic IT Operations ChatOps Site Reliability Engineering (SRE) Techniques for Co-created Value Basic Concepts of Co-created Value Service Experience Techniques for Assured Conformance DevOps Audit Defense Toolkit DevSecOpsPeer Review