329 Courses in Sheffield

The course is designed to help improve your understanding of the legal requirements, the theoretical and practical principles for both the initial verification and certification of an electrical installation, further your knowledge and practical skills in the testing and inspection of a range of existing electrical installations, and help improve your understanding of the legal requirements, the theoretical and practical principles for the periodic inspect and testing and certification of an electrical installation.

Make soap, bath bombs, body butter, scrub, moisturising cream, solid shampoo and lip balm or lipstick. Full set of 7 cosmetics to learn and make plus refreshments and a light lunch. Detailed and informative workshop where you can explore an even wider range of product making or concentrate on particular product areas such as organic products and skincare - £75 per head, 4 hours. 

See how plastic bottle tops are remelted into beautiful objects!

Agile and Scrum Fundamentals: In-House Training The overall goal of the course is to provide learners with the fundamentals of what Agile and Scrum are, and how to effectively apply Agile methods in your projects. What you will Learn At the end of this program, you will be able to: Describe Agile and Scrum foundation concepts Compare and contrast Agile roles to traditional roles Initiate an Agile project Develop Release Plans Build an Iteration Plan Execute an Iteration Implement Agile in your environment Getting Started Introductions Workshop orientation Expectations Foundation Concepts Project Lifecycles What is Agile? Why Agile? A range of Agile methods Focus on Scrum The People Side of Agile A range of Agile roles Focus on Scrum roles Unique characteristics of Agile Teams Building effective Agile Teams Initiating an Agile Project Conducting Sprint Zero Setting the vision Building the Product Backlog and User Stories Defining Acceptance Criteria Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning an Iteration Conducting the Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running an Iteration Executing Sprint activities Using Burn-down and Burn-up Charts Negotiating changes during a Sprint Conducting the Sprint Review Meeting Implementing Agile Conditions of success for implementing Agile and Scrum Implementing Agile Final words

NOCN NVQ Level 3 Diploma in Supervising Hire and Rental Operations

ProQual NVQ Level 3 Diploma - Testing, Inspecting and Thorough Examination of Plant, Machinery, Equipment or Accessories - on-site assessment - we come to you

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

Team development to improve business performance. Quantifiable results. Change measured. &0+% of teams are measured as more effective after 6 months.

Building High-Performance Teams: In-House Training This course pulls together the most current and popular theories and writings on this complex topic and presents this amalgamated view in a highly interactive workshop and activity-based approach. Students will understand and have the skills required to build and participate in high-performance project teams and will possess the insight to proactively affect change within their respective organizations by guiding the existing culture to one that promotes high performance. What you will Learn At the end of this program, you will be able to: Define a team and describe the optimum team size for effective performance Describe characteristics and guiding behaviors of high-performance teams Describe the major elements of each development stage in two distinct models Recognize cultural barriers in achieving high performance List the attributes of a high-performing corporate culture Assess your own corporate culture Discuss corporate leadership as a factor in building high-performance project teams Describe the three A's of selecting team members State three leadership responsibilities Describe leadership responsibilities, styles, and roles List and describe the eight components of the team charter model for building high-performance teams Foundation Concepts The Nature of Teams Characteristics of High-Performance Teams Understanding Team Development Stages of Team Development - Model 1 Stages of Team Development - Model 2 Designing a High-Performance Culture Corporate Cultures Corporate Leadership Establishing the Attributes of High Performance Choosing the Right People Team Effectiveness Team Leadership The Team Charter Model

Modern Energy, EFT Tapping, Reiki Healing, Manifesting, Energy Healing Circle Online On Zoom – for Low-Cost Practice with Lovely People Just Like You, Easy Case Studies, Networking for Client Referrals, or Supervision – All levels welcome!