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Ignite your dynamic career and strengthen your deep insight knowledge by signing up for Eating Disorder Awareness Diploma. This Eating Disorder Awareness Diploma is the ideal approach for you to obtain a thorough understanding and knowledge of the subject. We are concerned about the progression of your career. Therefore, after conducting extensive studies and consulting with experienced personnel, we formulated this outstanding course to improve your pertinent skills. In this easy-to-digest Eating Disorder Awareness Diploma course, you will get exclusive training, which will enable you to stand out in this competitive market. However, the Eating Disorder Awareness Diploma course covers all of the recent materials in order to keep you up to date with the job market and make you a good fit for your career. This top-notch course curriculum comprises basic to advanced levels of modules that will increase your skillsets. After completing this Programme, you will attain the productivity to succeed in your organisation. So, if you are eager to see yourself in a gratifying career, then enrol in our course today! What will make you stand out? On completion of this online course, you will gain: CPD QS Accredited After successfully completing the Course, you will receive a FREE PDF Certificate as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials. The online test with immediate results You can study and complete the course at your own pace. Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. The substantial Eating Disorder Awareness Diploma is designed to help you demonstrate the preliminary to in-depth level of learning regarding this topic. Moreover, you will be provided with the most knowledgeable and informative modules for your lifetime by enrolling in this course just once. Furthermore, as you proceed through the modules of this course, you will discover the fundamentals of Eating Disorder Awareness Diploma and explore the key topics such as: Eating Disorder Awareness Diploma Introduction About the Tutor About the Course CBT & Therapeutic principles What is CBT (the CBT model) NICE guidelines The therapeutic alliance, Trust and Empathy Ethics of the therapy The Psychology & Causations of Eating Disorders Eating disorders: Categorisations Core Psychopathology of Eating Disorders Co-morbid psychiatric illness Social and Family factors Cognitive factors Emotional factors The Assessment & Planning First session - Assessment Dietary and Nutritional issues Setting Goals with the client Motivational factors CBT in Practice Working with Anxiety The Socratic approach (Socratic questioning) Psychoeducation The 'Exposure' technique Working with Beliefs (shape, weight, food) Behavioural Experiments Reviewing & Wrapping up Designing and Reviewing Action plans Concluding therapy successfully Follow up and Relapse Prevention Thank you and Good Bye! Therefore, reinforce your knowledge and furnish your skills by enrolling in our course. Take one step closer to achieving your goal. Show off your new skills with a certificate of completion Once you complete the Eating Disorder Awareness Diploma course, you will be eligible to request a digital certificate for free. For Printed Transcript & Hardcopy Certificate- 4.99 GBP (Inside the UK Postal Fee) 8.99 GBP (International Delivery Fee) CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Eating Disorder Awareness Diploma Course the Right Option for You? This course is recommended for anyone who is interested in learning more about this topic. You'll learn the fundamental ideas and gain a comprehensive understanding of the topic by taking this Eating Disorder Awareness Diploma course. Requirements Without any formal requirements, you can delightfully enrol in this course. Career path The aim of this exclusive Eating Disorder Awareness Diploma course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas.

Description English is a notoriously difficult language to get right, especially when it comes to its written form. The rules of English grammar can seem arbitrary and are difficult even for native speakers to grasp fully. However, as complicated and difficult as mastering English grammar can be, it is an essential part of improving your written and verbal communication. Without these skills, you may find it hard to get your message across in a way that others can easily understand. This course introduces you to the basics behind English grammar. By going through both modules, you can learn enough about the rules of grammar to instantly improve your writing. We begin by talking about the nine parts of speech in detail, reviewing how to properly use each one. Next, we move on to talk about the rules surrounding punctuation marks. Finally, we leave you with a few points that you can keep in mind, when you are proofreading your work. You Will Learn: The difference between a noun, a pronoun and a proper noun When to use adverbs and adjectives and how to use them properly The rules of comma use, including a discussion about the Oxford comma How to properly use apostrophes and when to avoid using them The difference between a run-on sentence, a comma splice and a sentence fragment, along with how to avoid each one in your work Benefits of Taking This Course: Understand why it is important to work on and perfect your grammar Ensure your message is clearly understood by your audience Learn about the four most common mistakes that people make when writing and how to avoid them If you are a non-native English speaker, you can learn more about the rules of grammar, helping to improve your grasp of the language, resulting in better communication skills If you are a native English speaker, this course can help you take your writing to the next level Course Modules/Lessons Module 01: Parts of Speech Module 02: Punctuation and Improving Your Writing  

Learning Objectives Introduction , Designing Tables for Better Data Entry , Sharing Data with Other Applications , Working with Action Queries , Advanced Query Techniques , Automating Processes with Macros , Advanced Form Techniques , Advanced Report Techniques , Conclusion   Pre-Requisites Access 2019 Beginner or equivalent experience.   Description This course is designed to teach students intermediate level skills in Microsoft Access 2019. In this course, students will learn to design tables for improved accuracy in data entry, review the various options to share data with other applications, learn about action queries, and review various advanced query techniques. Students will also learn how to automate processes with Macros, advanced form techniques, and advanced report techniques. This course prepares students for the Access 2019 Advanced course. Access 2019 Intermediate Module 01: Introduction to the Course 00:02:00 Module 02: Reviewing Table Design Principles 00:11:00 Module 03: Setting Field Size, Formats and Captions 00:09:00 Module 04: Setting Default Values and Required Fields 00:06:00 Module 05: Restricting Data Entry-Validation Rules 00:06:00 Module 06: Restricting Data Entry-Input Masks 00:07:00 Module 07: Exploring Tables and Queries to Excel 00:04:00 Module 08: Exporting Data to a SharePoint List 00:02:00 Module 09: Importing Data from Excel 00:06:00 Module 10: Importing Data from a Sharepoint List 00:02:00 Module 11: Linking External Data Sources 00:06:00 Module 12: Using Word Merge 00:07:00 Module 13: What are Action Queries 00:03:00 Module 14: Creating an Update Query 00:06:00 Module 15: Creating an Append Query 00:04:00 Module 16: Creating a Delete Query 00:05:00 Module 17: Creating a Make Table Query 00:04:00 Module 18: Changing Start Number of an Auto Number Field 00:04:00 Module 19: Modifying Query Joins 00:09:00 Module 20: Using Self Joins to Combine Data 00:06:00 Module 21: Creating Find Unmatched and Find Duplicate Queries 00:09:00 Module 22: Creating Parameter Queries 00:07:00 Module 23: Creating a Top X Query 00:03:00 Module 24: Reviewing Calculated Query Fields 00:05:00 Module 25: Summarising Query Data with Totals 00:05:00 Module 26: Creating a Crosstab Query 00:07:00 Module 27: Understanding Macro Basics 00:14:00 Module 28: Creating Macros to Open Forms by Record 00:08:00 Module 29: Validating Data Entry with Macros 00:09:00 Module 30: Creating a Macro to Automate Data Entry 00:08:00 Module 31: Advanced Data Entry Using Macros and DLOOKUP Functions 00:09:00 Module 32: Using Conditional Formatting 00:04:00 Module 33: Working with the New Label Name Property 00:02:00 Module 34: Organising Form Fields with Tab Controls 00:05:00 Module 35: Creating an Option Group Control 00:06:00 Module 36: Creating a Combo Box Control 00:05:00 Module 37: Configuring a Combo Box Control to Show Search Results 00:04:00 Module 38: Using a Subform to Show Data from a Related Table 00:05:00 Module 39: Inserting a Chart on a Report 00:07:00 Module 40: Showing Data in Columns 00:08:00 Module 41: Inserting a Subreport 00:04:00 Module 42: Configuring Reports with Parameter Queries 00:05:00 Module 43: Sending Reports 00:02:00

Step into the intricate world of eating disorders with our course, 'Eating Disorders: Psychology and Causations.' This enlightening exploration transcends the traditional boundaries of education, immersing you in the complex psychology and multifaceted causations of eating disorders. Unravel the layers of categorizations, delve into core psychopathology, and examine the interplay of social, cognitive, and emotional factors that contribute to these conditions. Our modules, presented with engaging brevity, make this course a captivating voyage into the heart of a significant mental health concern. Learning Outcomes Comprehend the core psychopathology of eating disorders. Analyze the impact of social, family, cognitive, and emotional factors. Demonstrate proficiency in assessment and dietary planning. Apply motivational factors in goal-setting with clients. Implement CBT techniques, including the Socratic approach and exposure techniques. Why choose this Eating Disorders: Psychology and Causations 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 Eating Disorders: Psychology and Causations course for? Psychology enthusiasts eager to specialize in eating disorders. Healthcare professionals seeking a deeper understanding of psychological aspects. Counselors and therapists aiming to enhance their expertise. Students pursuing psychology or related fields. Individuals passionate about supporting those with eating disorders. Career path Eating Disorder Therapist: £25,000 - £35,000 Clinical Psychologist: £40,000 - £70,000 Mental Health Counselor: £30,000 - £45,000 Psychiatric Nurse: £25,000 - £35,000 Health and Wellness Coach: £20,000 - £30,000 Clinical Dietitian: £25,000 - £35,000 Prerequisites This Eating Disorders: Psychology and Causations does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Eating Disorders: Psychology and Causations 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 The Psychology & Causations of Eating Disorders Eating disorders: Categorisations 00:07:00 Core Psychopathology of Eating Disorders 00:07:00 Co-morbid psychiatric illness 00:07:00 Social and Family factors 00:08:00 Cognitive factors 00:07:00 Emotional factors 00:09:00 The Assessment & Planning First session - Assessment 00:08:00 Dietary and Nutritional issues 00:06:00 Setting Goals with the client 00:07:00 Motivational factors 00:07:00 CBT in Practice Working with Anxiety 00:05:00 The Socratic approach (Socratic questioning) 00:06:00 Psychoeducation 00:04:00 The 'Exposure' technique 00:07:00 Working with Beliefs (shape, weight, food) 00:07:00 Behavioural Experiments 00:07:00 Reviewing & Wrapping up Designing and Reviewing Action plans 00:06:00 Concluding therapy successfully 00:04:00 Follow up and Relapse Prevention 00:05:00 Thank you and Good Bye! 00:02:00

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.

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.

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

Virtual Revit face to face training customised and bespoke. One to One Online or Face to Face