335 Industry courses in Bristol

Not everyone is born with it, but unlike IQ, Emotional Intelligence can be acquired and improved with practice.

About this Training Course Wind has surpassed hydro-power generation in many countries recently. Wind energy offers many advantages, which explains why it's one of the fastest-growing energy sources in the world. The following are the advantages of wind power: Wind power is cost effective: Land-based utility-scale wind is one of the lowest-priced energy sources available today The fuel for wind power is free. This reduces the operation and maintenance cost of wind power plants significantly Wind is a clean source of power generation that does not pollute the air like power plants which rely on combustion of fossil fuel Wind power plants create jobs. Wind turbine technician is the fastest growing career in many countries Wind enables industry growth and competitiveness due to its low cost Wind power is a domestic source of energy. The wind supply is abundant and inexhaustible. The wind power generation capacity has become the largest source of renewable power in many countries Wind turbines can be built on existing farms and ranches. This greatly benefits the economy in rural areas, where most of the best wind sites are found. Wind power plant owners make rent payments to the farmers or ranchers for the use of their land, providing landowners with additional income This 5 half-day course covers all aspects of wind power plants including evaluation of a potential location for a wind power plant using wind data and using statistical distributions to approximate available wind energy at a wind power plant site. It provides also an in-depth understanding of all wind power plant equipment including wind turbines, generators, instrumentation and control systems, drive trains, gearboxes, doubly fed induction generators, synchronous generators, nacelles, towers, transformers, etc. The economics of a wind power plant including economic analysis of wind power generation, economic comparison between a large- and small-scale wind power plant, economic decision making, rate of return from a wind power plant, economic life and replacement of a wind power plant as well as the cost of electricity from wind power plants are covered in detail in this course. A thorough explanation of the design, operation and maintenance of on-shore and off-shore wind farms is presented in detail in this course as well as all the significant improvements that have been made to wind power generating plants during the last two decades. Training Objectives Evaluation of a Potential Location for a Wind Power Plant Using Wind Data: Learn how to evaluate the potential location for a wind turbine power plant using wind data. Using Statistical 'Rayleigh' Distribution to Approximate Available Power Generation from a Wind Turbine at a Specific Site: Learn how to use statistical 'Rayleigh' distribution to approximate available power generation from a wind turbine at a specific site. Calculate the Wind Energy Available at a Site: Gain an understanding on how to calculate the wind energy available at a site. Rated Capacity of a Wind Facility and Capacity Factor: Understand how to determine the rated capacity of a wind facility and its capacity factor. Designing a Wind Power Generating Plant: Learn how to design a wind power generating plant. Wind Power Plant Equipment Operation and Maintenance: Understand the operation and maintenance requirements for all wind power plant equipment including wind turbines, generators, nacelles, towers, transformers, etc. Wind Power Plant Instrumentation and Control Systems: Gain a thorough understanding about the latest instrumentation and control systems of wind power plants. Economics of Wind Power Plants: Gain a thorough understanding of the economics of wind power plants including economic analysis of wind power generation, economic comparison between a large- and small-scale wind power plant, comparison of alternatives, rate of return from a wind power plant, financial statements for a wind power plant, cost of electricity from a wind power plant, and levelized cost of wind energy.   Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a soft copy of the following materials written by the instructor: POWER GENERATION HANDBOOK' second edition, published by McGraw-Hill in 2012 (800 pages) Wind Power Generating Plant Manual (500 pages) 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

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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Mastering Critical Conversations: In-House Training We will explore various obstacles to delivering 'challenging' messages effectively, including those that come from the external environment as well as those we encounter internally. After gaining insight into the brain science behind the biology of conflict and emotion, we will then examine a 5-step framework for delivering difficult messages. Paired and small group activities comprise a large portion of this interactive course, which culminates in a role play. What You Will Learn At the end of this program, you will be able to: Recognize how a perceived threat by the brain translates into a physiological response of fight, flight, or freeze Utilize various techniques to mitigate an 'amygdala hijack' state Leverage a 5-step model to deliver 'challenging' news effectively Managing Difficult Conversations Obstacles to managing difficult conversations Understanding human nature Brain Science and the Biology of Emotion The unique challenge of social and emotional learning The limbic system and the amygdala hijack Self-regulation strategy for the amygdala hijack Delivering Challenging Messages Managing difficult conversations 5 steps for delivering a challenging message Verbal active listening techniques Preparing to deliver a challenging message (scenarios) Conversations Involving Emotion and Conflict Two types of conflict Spectrum of responses to conflict Psychological type preferences and conflict Creating an action plan

NPORS Remote Control Tower Crane (N115)

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NPORS Plant Machinery Marshal (N133)