About this Virtual Instructor Led Training (VILT) This 2-half-day Virtual Instructor Led Training (VILT) course will discuss the chemical aspects of the water-steam cycle in a power plant. The VILT course will examine the different types of chemicals used in boilers, potential issues in a water-steam cycle as well as aspects of monitoring and specifications regarding target values and alarm levels. Participants will also be equipped on what to do or key action steps to take in the event of chemistry-related incidents. This course is delivered in partnership with ENGIE Laborelec. Training Objectives The VILT course will cover the following: Detailed aspects of chemistry in a water steam cycle, including types of chemicals used in boilers depending on the treatment and type of boiler Potential issues in a water-steam cycle such as corrosion and deposition Monitoring & analytical programmes and knowledge of specifications for the water steam cycle (normal values targets - alarm levels) Chemistry aspects during transition periods: start-up, shutdown and preservation Actions to be taken in the event of an alarm Examples of incidents or deviations compared to normal chemistry Target Audience The VILT course is intended for: Power plant chemists Plant operation or maintenance engineers Consultants and technical project managers Boiler engineers Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader is a chemistry consultant in the energy sector. He works with operators of power plants and industrial facilities. He is active in water-steam cycle chemistry, where he provides support to increase chemistry maturity through audits, trainings or development of key performance indicators. His role also includes operational assistance in the field of chemical cleaning and troubleshooting. More recently, he expanded his field of competence towards electrical storage. In this regard, he specializes in electrochemistry and is in charge of different tests on batteries and their components within the ENGIE Batteries Lab. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations
Mediation for Managers Training
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
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In the modern work environment, managers and leaders must treat all colleagues with respect, including those who are challenging. Understanding the causes of difficult behaviour and being self-aware are crucial for creating a fair and inclusive workplace. This training session equips participants with the knowledge and communication tools to manage and overcome difficult behaviours effectively. This course is available to book for delivery in-house for your organisation and people exclusively, for either a half or full days training workshop. Prices are dependent on size of group ranging from a minimum of 4 to a maximum of 12 delegates. If you have a smaller number of delegates the Puritas 1:1 Leadership Coaching Programme is recommended.
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