1740 PLA courses in London

The Agile Project Manager Change isn't coming, it's already here. The project environment is becoming more volatile, uncertain, complex, and ambiguous. Project management and project managers must transform and evolve in order to keep up with these changes. Agile has been a disruptor in the field of project management, having over 20 years of successes and benefits to organizations that have adopted their frameworks. The Agile frameworks have proven themselves to be more adept in dealing with this uncertainty. But Agile isn't just about following a different way of working. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated project environment, this course provides participants with the knowledge needed to not only survive but thrive. What you will Learn At the end of this program, you will be able to: Evaluate the changing project environment and the needed knowledge, skills, and behaviors Demonstrate innovative project manager competencies of leading change, servant leadership, and focus on value Utilize Lean and Agile principles to maximize value and improve project performance Construct a hybrid Agile model that is unique to your project Assess your role in Business Agility as an Agile Project Manager Getting Started Introductions Workshop orientation Expectations Foundations Recap: What is Agile? A changed project environment The future project manager Agile Project Management Competencies Focusing on value Championing change Servant leadership Coaching / mentorship Facilitation Lean and Agile Principles Optimizing flow Making things small Continuous planning Just-In-Time requirements Visualizing work Hybrid Agile Considerations Considering a Hybrid Approach Examining Strengths and Weaknesses of Each Approach Selecting Waterfall / Agile Roles, Practices, and Techniques Reviewing Three Hybrid Scenarios Constructing the Hybrid Project Implementing Agile Pitfalls and Concerns Agile in the Organization Business Agility

Business Intelligence 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

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 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?

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?

CLINICAL PRP  • Sports medicine • Traumatology • Ophthalmic • Burn trauma • Wound healing – diabetic foot • Skin grafting • Dentistry-sinus lift • Tooth implants. Group Discount | We do not charge VAT! PRP theory & equipment: Training Online Theory will enable you to understand: Anatomy Vascular Supply, Contraindications Patient consultation Complications Management Post treatment advice Dealing with equipment | Suppliers A certification of training will be provided upon completion of the course. Aesthetic PRP • Skin rejuvenation • Hair restoration • Fat grafting in combination PRP • Post laser •Acne & Rosacea •Acne scar •Tissue Volumisation alternative of HA fillers •Aesthetic gynaecology /urology.   Platelet Rich Plasma We will cover pertinent information including mechanism of action, safety and efficacy issues, management and treatment of complications, dilution guidelines, and more. Hands on practical session – skin rejuvenation and hair loss Extraction, Preparation and Dosage Management Injection techniques – face, neck and head (hair loss); also the use of cannula Upon successful completion of the course, you will receive a certificate and title of PRP Certified Practitioner. MASTER CLASS PRP & PRF During the course we are providing . Taking blood and how to use a Centrifuge . PRP injecting techniques in face neck and décolletage hands. PRP Microneedling using a DERMAPEN. Combination treatment PRP with Mesotherapy. MECHANISM OF ACTION Platelets + Leucocytes form 3D mesh release of GF Chemo attraction and migration of macrophages and stem cells Stem cells proliferates by mitosis Stem cells undergo differentiation process BENEFIT FROM PRP TREATMENT & THERAPYExperience the advantages of PRP treatment and therapy, utilizing autologous blood with natural growth factors for disease-free and hypoallergenic benefits. Boost wound healing by regulating mitosis, proliferation, and differentiation, enhancing tissue with collagen, elastin, and hyaluronic acid. Benefit from improved tissue oxygenation, nutrition flow, and support for procedures like hair transplants, fat transfers, and skin grafts.PRP works effectively in skin rejuvenation, facial resurfacing, microneedling, and combines well with HA, PDO threads, skin boosters, peeling, or CO2 lasers. It also proves beneficial for hair restoration, showing positive results in various protocols for Androgenic alopecia and age-related hair loss.PRP where works .Skin rejuvenation-facial resurfacing application-injection alone. Microneedling Combination with HA, Combination with PDO threads, Skin boosters , peeling or CO2 lasers Hair restoration, Multiple protocols with positive results Evidence for improvement of: Androgenic alopecia-male and females, “spot hair lost” Improvement of age related hair loss. You need to be medically qualified as a doctor, dentist, nurse, pharmacist or paramedic with full governing body registration and have completed a Foundation Filler Course and to have administered a number of cases. MASTERCLASS 8 CPD POINTS 1 DAY INTENSIVE COURSE  ONLINE VIDEO TRAINING

Acquire in-depth knowledge of heat exchanger design and cost-saving management with EnergyEdge's TEM & HTRI course. Join our virtual instructor-led training to stay ahead in the industry.

Gain comprehensive knowledge and practical skills for safe and effective nasogastric tube insertion and feeding techniques with our "Promoting Best Practice in Nasogastric Tube Insertion and Feeding Tuition" course. Optimise patient safety, comfort, and outcomes with evidence-based best practices.

Intro to SQL training course description A hands on course focusing on the use of SQL. In particular this course does not concentrate on any particular version of SQL but rather enables delegates to recognise the differences found in SQL on different platforms. What will you learn Explain the difference between standard SQL and different flavours. Use SQL statements to query databases. Use SQL statements to define databases. Intro to SQL training course details Who will benefit: Anyone working with databases. Prerequisites: None. Duration 2 days Intro to SQL training course contents What is SQL? What is SQL? History, standards, What is SQL used for? Dialects, ANSI SQL, PL/SQL, Transact SQL, front ends. Database basics RDBMS, Tables. Hands on Investigating a database. Basic SQL commands SQL Overview: SQL DML, SQL DDL, SQL queries. SELECT, WHERE and ORDER BY clauses. Combining conditions. IN, LIKE and BETWEEN. Hands on Querying a database from existing tables. SQL data retrieval Scalar functions. Hands on Selecting data from an existing database. More SQL data retrieval Scalar functions, variations. Aggregate functions, GROUP BY. HAVING. Hands on Selecting data from an existing database. Table joins Multiple tables, joins, keys, inner joins, left joins, right joins. Hands on Selecting data from an existing database. SQL basic data manipulation INSERT, UPDATE, MERGE, DELETE. Transaction controls: COMMIT, ROLLBACK. Hands on Modifying data in tables. SQL Data Definition USE, CREATE, DROP, TRUNCATE, ALTER. Hands on Managing new tables and columns. Data control GRANT, REVOKE. Hands on Defining permissions.

We are delighted to announce that ESAG Surgical Master Class 2023 will take place at InterContinental London – The O2 hotel which is conveniently located on the stunning Greenwich Peninsula, right next to the majestic River Thames. The Master Class will start at 08:30 and end approximately at 17:00 and will host the following World Renowned Experts:  Alexandros Bader (UK) Ariel Luksenburg (Uruguay) Ana Cristina Batalha (Brazil) Dan Mon O’Dey (Germany) John Miklos (USA) Jorge Alberto Elias (Argentina) Marco Pelosi III (USA) Rafal Kuzlik (Poland)