504 Courses

Taking the reins as a Team Leader or New Manager is both exciting and challenging. This four-part course is based on insights gathered from business leaders on transitioning into a new managerial or team leadership role. It's specifically tailored for individuals who are new to leading a team or managing staff, providing relevant and targeted guidance.

Enhance your knowledge of exploration and production accounting with EnergyEdge's course. Join our classroom training for expert guidance and industry-relevant skills. Enroll now!

Wanna Be The Trusted Waxer That Everyone Raves About? Who is this course for? ​ This Level 6 Depilation course is designed for anyone looking to have a career in the waxing industry and allows for progression on to Intimate Waxing and Advanced Waxing Skills. SQA Level 6 Award in Depilation provides knowledge and practical competence in health & safety within the salon and waxing and is regulated by SQA. The strategy for delivery of this unit is based upon a combination of online theory, and autonomous learning, workshops and practical sessions. This is delivered over 6 sessions. The final stage is an assessment which is submitted to SQA and finally your certificate will be issued. In this unit you will develop the skills required to remove hair from various areas on the face and body. You will gain knowledge of skin and hair structure, hair growth, causes of excess hair growth, hair types, contra-indications, special care conditions and contra-actions. Your practical skills will be developed by consulting with clients to develop treatment plans then preparing for and performing depilation treatments You will give clients homecare and aftercare advice and evaluate the effectiveness of the treatment in relation to technique and product selection. You will demonstrate knowledge of and adherence to relevant health and safety procedures; appearance which reflects organisational and industry standards and effective communication and consultation techniques. You will be assessed by answering structured questions in closed-book conditions to demonstrate your understanding of essential knowledge relating to depilation and will be observed carrying out depilation treatments on a minimum of six areas of the face and body on four different clients. Two of the performances must demonstrate multiple treatment areas. Treatment areas must include Face: upper lip and eyebrow; Body: underarms and bikini; Limbs: half leg and full leg. An assessor observation checklist must be used to provide evidence of performance supported by an accurately completed client consultation record completed by the learner. Practical performance must be carried out in a commercially acceptable time. Key areas of knowledge will be: Structures of the skin Hair structure Hair growth cycle Hair types Causes of excess hair growth Ingrown hairs Contra-indications Contra-actions Personal preparation Consultation techniques Reasons for consultation Client confidentiality Treatment planning Treatment environment preparation Equipment preparation Current waxing techniques — warm and hot wax Correct application and removal methods Product selection Skin sensitivity testing When and how to trim over-long hair Treatment areas: face, body, limbs Client preparation and positioning Client comfort and safety Waste disposal Commercial timing Time management Relevant current Health and safety legislation After care and homecare advice Methods used to evaluate the effectiveness of the depilation technique Self-evaluation ​​ Aspects of the Core Skill of Problem Solving, that is, Planning and Organising, Critical Thinking, and Reviewing and Evaluating, will be naturally developed as the depilation treatment is planned and safely undertaken. In planning the treatment you will identify and analyse a range of factors including suitable products, equipment and techniques to ensure the treatment meets the needs of each individual client. The treatment application must ensure client comfort and safety. Compliance with health and safety legislation is integral to achievement. Communication skills are not formally assessed however you will be expected to present oral and written communication to an acceptable professional standard. Oral communication skills will be developed in practical work with clients when interaction must be professional, sensitive and empathic. Communicating appropriate information to clients, explaining and reassuring during treatment sessions and giving aftercare advice and homecare advice will be an essential aspect of competence. You should be fully aware of a range of active listening techniques in order to relate and respond to others in the most appropriate and effective way, adapting language, register and style to suit their purpose and clientele. In addition to the specific vocational skills developed and assessed you will have the opportunity to develop generic skills which will enhance their employability skills profile, eg customer care skills, communication skills, time management. The SQA Level 6 Depliation is a practical and knowledge based qualification. It is aimed at equipping therapists with skills required for work in salons, destination/day spas and cruise ships. The units have been identified by employers as the most appropriate for working as a beauty therapist however, there are many CPD courses that can enhance the skills learnt and provide new techniques to ensure that the qualified therapist remains current and at the forefront of the industry

This Access 2016 Intermediate is specially designed for you if you are thinking to take your Microsoft Access skills to the next level. Through the course, you'll master more advanced techniques for this powerful database program and build an entire database project from scratch.  From building reports to using conditional formatting, you'll see how to present your data and gain techniques for using Visual Basic to automate common tasks. You will learn to design tables for improved accuracy in data entry by setting default values and restricting data entry, review the various options to share data with other applications, including Word and Excel, learn about Action Queries to automate updating, appending and deleting table data, and review various advanced query techniques such as using Query Joins, Parameter queries, working with totals and Crosstab queries. Finally, you'll build a navigation form to make it easy for your users to find their way around your database.  What Will I Learn? Design Tables for Better Data Entry Share Data with Other Applications Work with Action Queries Advanced Query Techniques Automate Processes with Macros Advanced Forms Advanced Report Techniques Requirements Access 2016 Introduction or equivalent experience. Who is the target audience? Students who want to take Access to the next level and improve their database design skills. Introduction Introduction FREE 00:01:00 Designing Tables for Better Data Entry Reviewing Table Design Principles 00:04:00 Setting Field Size, Formats and Captions 00:06:00 Setting Default Value and Required Fields 00:03:00 Restricting Data Entry Using Data Validation 00:02:00 Restricting Data Entry Using Input Masks 00:06:00 Sharing Data with Other Applications Exporting Tables and Queries to Excel 00:03:00 Importing Data from a TXT File 00:03:00 Importing Data from Excel 00:02:00 Exporting Data to a TXT File 00:02:00 Linking External Data Sources 00:03:00 Using Word Merge 00:02:00 Working with Action Queries What are Action Queries 00:02:00 Creating an Update Query 00:02:00 Creating an Append Query 00:03:00 Creating a Delete Query 00:02:00 Creating a Make Table Query 00:02:00 Changing the Start Number of an Auto Number Field 00:03:00 Advanced Query Techniques Creating Query Joins 00:05:00 Creating Find Unmatached and Find Duplicate Queries 00:03:00 Creating Parameter Queries 00:04:00 Using -Like- Keyword in Parameter Queries 00:02:00 Creating a Top X Query 00:02:00 Reviewing Calculated Query Fields 00:03:00 Summarizing Query Data with Totals 00:03:00 Inserting Where Statements in Summary Queries 00:01:00 Creating a Crosstab Query 00:03:00 Automating Processes with Macros Understanding Macro Basics 00:06:00 Creating Macros to Open Forms by Record 00:04:00 Validating Data Entry with Macros 00:04:00 Creating a Macro to Automate Data Entry 00:03:00 Advanced Data Entry Using Macros and DLOOKUP Function 00:06:00 Advanced Form Using Conditional Formatting 00:02:00 Organizing Form Fields with Tab Controls 00:03:00 Creating a Combo Box Control 00:02:00 Creating an Option Group Control 00:03:00 Using a Subform to Show Data from a Related Table 00:03:00 Advanced Report Techniques Inserting a Chart on a Report 00:03:00 Showing Data in Columns 00:02:00 Inserting a Subreport 00:02:00 Configuring Reports with Parameter Queries 00:04:00 Sending Reports 00:02:00 Conclusion Course Recap 00:01:00 Resources Resources - Access 2016 Intermediate 00:00:00 Course Certification

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

Learn the principles of emotional intelligence about how your emotions influence the way you understand yourself, how you build relationships, how you manage stress and how you make decisions. We all have emotions! You will need an open mind and a willingness to learn about how to positively embrace working with your intelligence and your emotions. You should be committed to developing your ability to manage the emotional dimensions of life.

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Unleashing the Power of Deep Learning: Mastering Neural Network with R Dive into the fascinating realm of artificial intelligence with our course, 'Deep Learning Neural Network with R.' Imagine a world where machines learn and make decisions, mimicking the intricacies of the human brain. This course is your gateway to unlocking the secrets of deep learning, focusing on neural networks implemented using the versatile R programming language. Immerse yourself in hands-on projects, from creating single-layer neural networks for agriculture analysis to mastering multi-layer neural networks for predicting deaths in wars. The journey begins with reviewing datasets and creating dataframes, leading you through running neural network code and generating insightful output plots. Join us in this captivating exploration, where coding meets creativity, and algorithms come to life. Learning Outcomes Master the fundamentals of single-layer neural networks, gaining the skills to analyze agricultural datasets effectively. Acquire proficiency in implementing multi-layer neural networks, specifically tailored for predicting outcomes in complex scenarios like deaths in wars. Develop hands-on experience in creating and manipulating dataframes for enhanced data analysis. Gain a deep understanding of neural network syntax, commands, and code execution in the R programming language. Hone your ability to generate meaningful output plots, transforming raw data into visually compelling insights. Why choose this Deep Learning Neural Network with R course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Deep Learning Neural Network with R course for? Aspiring data scientists and analysts eager to delve into the world of deep learning. R programming enthusiasts looking to enhance their skills with practical applications. Students and professionals in computer science, statistics, or related fields. Individuals seeking to understand the implementation of neural networks in real-world scenarios. Anyone fascinated by the intersection of coding, data analysis, and artificial intelligence. Career path Machine Learning Engineer: £40,000 - £70,000 Data Scientist: £35,000 - £60,000 Artificial Intelligence Researcher: £45,000 - £80,000 Research Scientist (Machine Learning): £50,000 - £90,000 Data Analyst (AI/ML): £30,000 - £55,000 Senior AI Developer: £60,000 - £100,000 Prerequisites This Deep Learning Neural Network with R does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning Neural Network with R was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Reviewing Dataset 00:14:00 Creating Dataframes 00:09:00 Generating Output 00:12:00 Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Running Neural Network Code 00:11:00 Importing Dataset 00:09:00 Neural Network Plots for Hidden Layer 1 00:08:00 Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Syntax and Commands for MLP 00:11:00 Running the Code 00:08:00 Testing for Dataframes 00:13:00 Predict Results 00:08:00 Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) Creating R Folder 00:14:00 Generating Output Plot 00:12:00 Testing and Predicting the Outputs 00:16:00

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Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, and Users. Overview Provide an overview of the fundamental concepts and procedures of production planning within SAP ERP.Gain an overview of the manufacturing methods supported by ERP. This course is designed to provide an overview of the fundamental concepts and procedures of production planning within SAP ERP. Introduction to Supply Chain Planning Drafting Supply Chain Planning Planning-Specific Master Data Reviewing Supply Chain Master Data Reviewing Production Master Data Sales and Operations Planning Drafting Flexible Planning Executing Standard Sales and Operations Planning Releasing a Standard Sales and Operations Plan Demand Management Setting Up a Demand Program Planning Make-to-Stock Production Planning Make-to-Order Production Checking Product Availability Material Requirements Planning Drafting MRP Procedures Planning Material Requirements Interpreting the Results of Material Requirements Planning Long-Term Planning Creating a Long-Term Planning Scenario Executing Long-Term Planning Introduction to Production Execution Distinguishing Production Types Production with Production Orders Drafting Production Orders Creating Production Orders Releasing Production Orders Executing Material Staging for Production Orders Executing Confirmation and Goods Receipt for Production Orders Evaluating Production Orders Production with Process Orders Drafting Process Orders Creating and Interpreting Process Orders Executing Process Orders Using Additional Functions with Process Orders Repetitive Manufacturing Drafting Repetitive Manufacturing Preparing Repetitive Manufacturing Planning Line Loading in Repetitive Manufacturing Using Material Staging and Confirmation Integrating Costing, Controlling, and Reporting The Kanban Principle Drafting Kanban Using Kanban in Production Additional course details: Nexus Humans SCM130 SAP ERP Planning and Manufacturing Overview training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the SCM130 SAP ERP Planning and Manufacturing Overview course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.