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Highlights of the Course Course Type: Online Learning Duration: 1 Hour 56 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about addiction counselling Understand the core competencies and principles of addiction counselling Explore the various areas of addiction counselling Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert addiction counsellor Addiction Counselling Course Diploma Course Master the skills you need to propel your career forward in addiction counselling. This course will equip you with the essential knowledge and skillset that will make you a confident addiction counsellor and take your career to the next level. This comprehensive addiction counselling course diploma course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying thisaddiction counselling course diploma course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective addiction counselling practice and equip you with the essential skills, confidence and competence to assist you in the addiction counselling industry. You'll gain a solid understanding of the core competencies required to drive a successful career in addiction counselling. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for addiction counsellor or for people who are aspiring to specialise in addiction counselling. Enrol in this addiction counselling course diploma course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive addiction counselling course diploma course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this addiction counselling can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This addiction counselling course diploma course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This addiction counselling course diploma course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This addiction counselling course diploma course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum About Introduction: About instructor & the course 00:02:00 Theories of Addiction The Moral Model 00:05:00 The Psychological Model 00:06:00 The Medical / Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling and Therapy 00:07:00 Harm Reduction Model 00:04:00 Treatments in Practice 00:05:00 Addiction in Society Drug policies, Legislation and Decriminalisation 00:08:00 Community change, Outreach, Harm Reduction or Abstinence 00:06:00 Alcohol and Drug education 00:05:00 Alcohol- and drug related issues in the workplace 00:06:00 Addiction in Families Codependency, Children of alcoholic families, parenting styles, family factors 00:08:00 Relapse for families, 'letting go', dependent attitudes and dependent behaviours 00:04:00 Al-Anon 00:04:00 The Intervention Approach3 00:04:00 Working with Addiction Why be a 'helper' 00:03:00 'Helper' qualities and attitudes 00:03:00 Counselling / 'helping' skills 00:04:00 Assessment Assessment - Addiction Counselling and Psychology 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

About this Training Course Whether you are maintaining an oil rig or processing plant, good quality maintenance is critical to delivering a safe reliable product to your customers. Whatever your level of maintenance experience, this course will equip you with the valuable skills and understanding that will enhance your maintenance career. Too often the maintenance department is seen as the cause of why assets are unavailable, in poor condition yet are costing too much to maintain. By comparison, pace setting companies see maintenance as adding value to their assets and employ an integrated, holistic approach to their maintenance activities. This course will help you move towards that pace setting performance. This course is based on an integrated maintenance model that has been used by leading companies and consultants with success and recognised as best practice. Participants will learn the total impact that maintenance can have on a business, identify key elements (and value) of effective maintenance for their own plants to not only reduce costs but also improve performance. The critical types of maintenance will be covered from day-to-day activities to shutdowns and reliability improvement. The course will break down traditional functional boundaries and encourage a holistic approach to maintenance. With an organisation's maintenance process only as good as its weakest link, this course will guide participants through all the key steps of a maintenance process and its supply chain. Participants will understand what is considered a good standard for each step in the maintenance process, how to identify the weakest links and subsequently how they can accelerate their performance improvement. Participants will have the option of gaining a Bronze Level qualification from the Academy of Turnarounds Operations of Maintenance. For those who obtain a pass, they will receive a Pass certificate and for those who achieve the top quartile score, they will receive a Distinction level pass. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By the end of the course, participants will be able to: Explain the challenges and objectives facing maintenance organisations today Demonstrate the importance of work order systems and use techniques for time estimations and priority assignments Prepare a preventive maintenance program Apply project management techniques to effectively manage major maintenance activities and shut downs Use capital budgeting techniques to evaluate maintenance capital expenditures Demonstrate understanding of how to maintain the optimal stock levels of spare parts to ensure operational continuity Prepare the right Key Performance Indicators (KPIs) to evaluate and improve performance in maintenance Target Audience This course is not just for maintenance professionals. Maintenance teams cannot perform without effective integration with operations and supply chain functions. Availability losses are often caused by operations or design issues and pace setting companies have generated significant benefits by integrating operation and maintenance strategies and working more collaboratively. This course will help all members of the operations and maintenance teams and their supply chain better understand their respective roles in ensuring that maintenance is benefitting and not inhibiting their business. Course Level Basic or Foundation Trainer Your expert course leader is a highly experienced facilitator in maintenance improvement, change management, continuous improvement and capability development as a management coach and trainer. He has a strong focus on people with an emphasis on developing people and the practicalities of improving maintenance performance rather than just the theory. He has worked internationally across Europe, America, the Middle East and Africa with extensive experience in Oil and Gas, the Chemicals sector and manufacturing as well as working with clients in Steel and Power Generation. As a result, he can bring best practice from a wide variety of sources. He spent the first fifteen years of his career as a specialist trainer working for companies such as Lloyds British Training Services and Rolls Royce. He then went on to work as a Principal consultant for ABB consulting for 15 years. During this time, he refined some of the established improvement tools including how and when to apply them for maximum impact whilst still continuing to develop and deliver training in support of this. Recent work has included improvements to the Work Order to Work Execution processes of Engineering departments and focused on Reliability, Planning and Scheduling. This ongoing field experience has helped him test and refine specialist training in a number of areas. He has been able to use his own experience to contribute with other maintenance specialists to the Carcharodon models of excellence. Its methodologies are recognised as 'Best of the Best' standards providing the inspiration for two books, projects that have won awards such as the prodigious UK Chemical Industries annual Excellence in Engineering award and form the basis of this training. He was recently awarded a national award as coach of the year. He uses the same skills to ensure that he does not just preach maintenance best practice, he discusses it, explains it and ensures that delegates have a much more personal and flexible experience. 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

About this VILT Tripod can be used in any area of business where the organisation has a management system in place to prevent unwanted events e.g., health, safety, environment, quality, security, productivity, project management, and many more Tripod Beta is one of several tools based on Tripod's fundamental principles. Tripod Beta is based on proven theories, man years of academic research, and testing in the workplace. The Swiss Cheese Model originated from this work. Features of the methodology are: 1) the Tripod Beta diagram; it provides an easy-to-read summary of the entire investigation on a single page, 2) it accommodates deficiencies in leadership and worker participation, 3) it accommodates deficiencies in human behaviour, and 4) it highlights missing controls (not just controls that failed). Quality throughout all aspects of Tripod is assured by the Stichting Tripod Foundation (STF) and the Energy Institute. The participants will gain a theoretical understanding of the Tripod Beta methodology and terminology. They will be able to read Tripod diagrams and reports, and be able to assist incident investigation/analysis as a team member. This is the first step to becoming an accredited silver or gold practitioner. Tripod Beta Practitioner Accreditation is meant to build these skills, through a blend of support, coaching and assessments. Feedback is provided on Tripod incident investigation reports, giving the Practitioner the opportunity to hone their skills and become confident in their ability to use Tripod effectively. Training Objectives Upon completion of this course, participants will be able to: Pass the Tripod Beta Practitioner (Bronze Level) exam Act as a team member or Tripod facilitator on an incident investigation Plan and schedule activities for an incident investigation Focus line of enquiry during an investigation Engage with the most relevant people at each stage of the investigation Describe the incident causation paths in terms that align with their management system Consider issues relating to leadership, worker participation and human behaviour Assess the quality of an incident report Apply the process to any type of unwanted event that should have been prevented by a management system e.g., health, safety, environment, financial, security, productivity, quality, project management etc. Combine the findings from many incidents with data from other initiatives e.g., audits and inspections, to spot trends to prioritise actions and product a single improvement plan Target Audience The course is recommended for anyone who is expected to play a role in designing, reviewing, auditing, and following your organizations OH&S management system. Successful participants will be awarded the Stitching Tripod Foundation Tripod Beta Bronze certificate. The following oil & gas company personnel will benefit from the knowledge shared in this course: CEO Team Leaders Legal, insurance and finance departments Managers (Line and Function) Maintenance Engineers Quality Assurance Engineers Process Engineers Incident Investigators (Team member & Tripod facilitator) Project Managers System Custodians Technical Authorities Key Contractor's Management Contract Managers/Holders Safety Representatives Risk Management Engineers HSE Advisors Supervisors Auditors Regulators Course Level Basic or Foundation Trainer Your expert course leader has over 30 years of experience in construction, operations and maintenance with the upstream exploration and production sector. He joined Shell International E&P in 1971 and for 28 years worked in several locations around the world. Following the Piper Alpha incident he led Shell's two year, £10M major overhaul of their permit to work system. He first made use of the Tripod Beta principles during this period and since then he has delivered over 100 Tripod Beta courses in more than 25 locations around the world. He is a Chartered Engineer, a member of the Institution of Engineering and Technology and holds a postgraduate diploma from the University of Birmingham (UK). 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 smart way of using machine learning in Flutter to build smart android and iOS applications with

This half day course is designed to help participants learn more about the new legal form for charities, the Charitable Incorporated Organisation (CIO), which was introduced in January 2013. The session will set the context and background to the introduction of the CIO, explore its potential benefits (and weaknesses) when set against the company limited by guarantee structure and introduce the two constitution models – the Foundation version (where only trustees are members) and the Association model (where the organisation’s membership is wider). By the end of the course participants should have a deeper knowledge of the subject so that they are able to make a more informed choice as to whether this legal entity might work for their organisation.

Are you looking to improve your current abilities or make a career move? Our unique Course might help you get there! Expand your expertise with high-quality training - study the course and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Coaching & Mentoring Skills online training course. This course is accredited by CPD with 10 CPD points for professional development. Students can expect to complete this Effective Minute Taking Training course in around 6 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our course. The course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. With this comprehensive course, you can achieve your dreams and train for your ideal career. The course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enrolling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling on this course will ensure that you land your dream career faster than you thought possible. Stand out from the crowd and train for the job you want with the programme. Experts created this course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! Why Prefer this Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete this programme in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Here is the curriculum breakdown: Module 1: Introduction This course module covers the following topics: What is Coaching? The Five Principles of Coaching Definition of a Coach The Duties of a Coach Characteristics of A Successful Coach Coaching Traps and Problems What is Mentoring? Definition of Mentor and Mentee Roles & Responsibilities of A Mentor Module 2: Coaching & Mentoring: Objectives & Processes This course module covers the following topics: Objectives Processes The Differences Between Coaching & Mentoring Barriers Individual Barriers Organisational Barriers Techniques for Overcoming Barriers Module 3: Ethical Aspects This course module covers the following topics: Association for Coaching's Guiding Principles 'AC' and 'EMCC's Code of Ethics International Coach Federation(ICF) Standards of Ethical Conduct Professional Conduct At Large Professional Conduct with Clients Confidentiality/Privacy Conflicts of Interest Module 4: Models This course module covers the following topics: An Introduction The GROW Model The OUTCOMES Model The JOHARI Window The FLOW Model The SOS Model The Cyclical Mentoring Model The Double Matrix Mentoring Model Module 5: Effective Communication Skills This course module covers the following topics: Creating a Good Coaching & Mentoring Relationship Using Appropriate Language Listening to A Deep Level Asking Effective Questions Limiting Beliefs/Assumptions Giving Effective Feedback Communicating Non-Verbally Presence and Silence Module 6: Personal Skills This course module covers the following topics: Time Management Stress Management Emotional Management and Happiness Maintenance Assertiveness Negotiation Module 7: Management Skills This course module covers the following topics: Motivating Leading Delegation Decision Making and Problem Solving Project Management Module 8: Functional Skills This course module covers the following topics: Sales Skills Sales Management Marketing Management Financial Management Production Management Assessment Process Once you have completed all the modules in the course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the course. Show off Your New Skills with a Certificate of Completion The learners have to complete the assessment of this course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Course Right for You? Anyone interested in learning more about this subject should take this course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. All are welcome to take this course. There are no prerequisites for enrolment, and you can access the course materials from any location in the world. Requirements The programme does not require any prior knowledge; everyone may participate! This course is open to anyone interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your speed and grow a quality skillset. Career path After completing this Course, you are to start your career or begin the next phase of your career in this field. Our entire course will help you to gain a position of respect and dignity over your competitors. The certificate enhances your CV and helps you find work in the field concerned.

Overview This comprehensive course on Django Rest Framework Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Django Rest Framework Level 4 comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Django Rest Framework Level 4. It is available to all students, of all academic backgrounds. Requirements Our Django Rest Framework Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 15 sections • 82 lectures • 04:40:00 total length •Module 01: Course and Instructor Introduction: 00:03:00 •Module 02: How to make the best of this course: 00:02:00 •Module 01: What is REST?: 00:06:00 •Module 02: Why REST: 00:08:00 •Module 03: What and Why DJango REST Framework: 00:06:00 •Module 01: Install DJango: 00:03:00 •Module 02: Install DJango REST Framework: 00:01:00 •Module 03: Install MySql and MySql workbench: 00:03:00 •Module 04: Launch MySql workbench: 00:02:00 •Module 05: Install python mysqlclient: 00:01:00 •Module 06: Install ATOM: 00:03:00 •Module 07: Install Postman: 00:01:00 •Module 01: Create the project: 00:02:00 •Module 02: Create a view: 00:02:00 •Module 03: Configure the URL and TEST: 00:03:00 •Module 04: Create app level urls: 00:02:00 •Module 05: Create a model class: 00:03:00 •Module 06: Configure the database and run migrations: 00:03:00 •Module 07: Use the model in the view and test: 00:03:00 •Module 01: DRF Components: 00:06:00 •Module 02: Function Based Views: 00:05:00 •Module 03: Serializers: 00:04:00 •Module 04: Create the Project: 00:02:00 •Module 05: Create the Model: 00:02:00 •Module 06: Create the Serializer: 00:02:00 •Module 07: GET single student: 00:04:00 •Module 08: Create Student: 00:04:00 •Module 09: Implement Non Primary Key Based Operations: 00:07:00 •Module 10: Use @api_view: 00:01:00 •Module 11: Configure the URLs: 00:02:00 •Module 12: Test: 00:07:00 •Module 13: Test Using Postman: 00:04:00 •Module 01: Introduction: 00:01:00 •Module 02: Create the Project: 00:01:00 •Module 03: Implement Non Primary Key Based Operations: 00:06:00 •Module 04: Implement Primary Key Based Operations: 00:07:00 •Module 05: Configure the URLs and TEST: 00:04:00 •Module 01: Introduction: 00:05:00 •Module 02: Non Primary Key based operations: 00:04:00 •Module 03: Primary Key based operations: 00:02:00 •Module 04: Configure the URLs and TEST: 00:02:00 •Module 01: Generics: 00:03:00 •Module 02: Generics in action: 00:03:00 •Module 01: Introduction: 00:03:00 •Module 02: Create ViewSet: 00:02:00 •Module 03: Configure URLs and Test: 00:04:00 •Module 01: Create the Project: 00:03:00 •Module 02: Create model: 00:03:00 •Module 03: Create Serializers: 00:04:00 •Module 04: Create REST endpoints: 00:03:00 •Module 05: Configure URLs: 00:02:00 •Module 06: Test: 00:03:00 •Module 01: Introduction: 00:06:00 •Module 02: Pagination in action: 00:05:00 •Module 03: Pagination at class level: 00:03:00 •Module 04: Using LimitOffsetPagination: 00:01:00 •Module 01: Introduction: 00:04:00 •Module 02: Authentication in action: 00:03:00 •Module 03: Authorization in action: 00:06:00 •Module 04: Global Security: 00:04:00 •Module 01: Usecase: 00:01:00 •Module 02: Create the Project: 00:01:00 •Module 03: Create Model Classes: 00:03:00 •Module 04: Create Reservation Model: 00:01:00 •Module 05: Create Serializers: 00:01:00 •Module 06: Create ViewSets: 00:02:00 •Module 07: Configure the Router: 00:02:00 •Module 08: Run Migrations: 00:01:00 •Module 09: Initial round of testing: 00:04:00 •Module 10: Implement findFlights endpoint: 00:03:00 •Module 11: Test findFlights: 00:05:00 •Module 12: Implement Save Reservation: 00:06:00 •Module 13: Test Save Reservation: 00:04:00 •Module 01: In-Built Validations: 00:04:00 •Module 02: Allowing Blank and Null Values: 00:02:00 •Module 03: Create Custom Validator: 00:05:00 •Module 04: Two more ways: 00:07:00 •Module 01: Introduction: 00:03:00 •Module 02: Configure Token Auth: 00:05:00 •Module 03: Create Users and Token: 00:04:00 •Module 04: Token Auth in action: 00:03:00 •Module 05: Automate Token Creation: 00:09:00

Use Cases for Business Analysis: In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?