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The “ISO 22301:2019 Lead Implementer ” course provides comprehensive training in the ISO 22301:2019 standard and all its requirements from the Implementer ’s point of view, as well as basic skills necessary to execute the requirements. It’s a practical-oriented training that should be considered “a must” for every ISO 22301:2019 Implementer. This intensive course is specifically designed to participants to serve as ISO 22301:2019 Lead Implementers.

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Leaders and managers are powerful people who are able to exercise considerable influence over the way in which an organisation operates and its employees. Ethical leadership involves the way that managers and leaders carry out their decision-making in terms of moral issues and choices. It is concerned with right versus wrong, good versus bad and the many shades of grey in between. Moral implications spring from virtually every decision, both on and off the job, requiring the ethical leader to have more imagination and the courage to do the right thing, from an ethical standpoint. This course examines the role of the ethical leader and the influence that he or she can exert in terms of corporate social responsibility (CSR) and improving an organisation’s ethical climate.

Transforming your approach to the behaviour of autistic children

A medical secretary is responsible for ensuring that a doctor's office runs smoothly so that patients receive the best possible care. A medical secretary must understand office organisation and standard procedures to provide this secretarial support. They should also be able to use medical terminologies fluently. This coursewill teach you about the medical secretarial profession and the skills needed to do the job successfully. This coursewill teach you about the roles and responsibilities of a medical secretary. You will also learn various medical secretary skills, including an effective filing system, medical transcription, medical writing, maintaining medical records, an appointment system, and more. Furthermore, this comprehensive Medical Secretary & Receptionist will teach you the critical concepts of patient confidentiality and other legal aspects of the healthcare industry. Learning Outcomes After completing this course, learner will be able to: Understand the fundamentals of the National Health Service. Understand the roles and responsibilities of a medical secretary. Know how to organise schedules and manage appointment systems. Gain a clear understanding of the Law, Ethics and Medicine. Gain a thorough understanding of the effective filing system in medical offices. Familiarise yourself with the concept of patient confidentiality and its dos and don'ts. Become skilled at controlling and ordering stocks and supplies. Gain in-depth knowledge of Medical Terminology and Clinical Aspects. Know the importance of health and safety in the healthcare sector. Have a solid understanding of Complementary Medicine Why Choose Diploma in Medical Receptionist and Secretary from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Medical Secretary & Receptionist Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing this Course. **Courses are included in this Medical Secretary & Receptionist Bundle Course Course 01: Medical Secretary & Receptionist Course 02: Dealing With Difficult People Course 03: Communication Skills Course Course 04: Level 5 Proofreading & Copy Editing Course 05: Level 2 Customer Service Course 06: Level 1 Certificate in Well-being Course 07: Mental Health Support Worker Course 08: Workplace Stress Management Course 09: Level 2 Award in Job Search and Interview Skills Course 10: Anger Management ***Others Included of this Bundle Course Free 10 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the course ] Detailed course curriculum of the Medical Secretary & Receptionist: Module 1: The National Health Service History Structure of the NHS The NHS Plan Resource Allocation Delivering Care Mental Health Services Public Health The NHS, the Regions and Devolution Module 2: Patient (Customer) Care The Medical Receptionist Putting Patient First Complaints Within the Health Service The Complaints Procedure Patient and Public Involvement Patient's Rights Access to Health Care Total Quality in Medical Practice Customer Care: Involving Patients and the Public Module 3: Communication Report Writing Electronic Mail & Mobile Phones: Text Messages Telephone Skills People Skills - Face to Face Meeting Performance Review & Counselling The Practice Leaflet & Hospital Information Leaflets Networking Module 4: Law, Ethics and Medicine Medical Ethics and Etiquette Doctor's Duties Patient's Right The Regulatory Bodies and Their Role Legal Aspects Certification Health and Safety at Work Module 5: Health & Safety in a Clinical Environment First Aid at Work Hazardous Substances The NHS National Patient Safety Agency (NPSA) Hepatitis & AIDS Fire Precautions Clinical Risk Management Coping With Aggression & Violence Module 6: Practical Reception Skills in General Practice Record Keeping and General Administration Information Technology Module 7: The Hospital Service The Patient's Route Through the Hospital Outpatient Appointments Admissions from the Waiting List Accident and Emergency Admissions Home From Hospital Support Day Cases and Ward Attendees Hospital Team Clinical Audit Star Ratings What is a Medical Record? Cases Notes Master Index Filing Room or Records Library Medical Records Procedure for Departments Retention of Records Destruction of Medical Records The Role of the Secretary in the Hospital Module 8: Private Medicine Private Clinic or Hospital The Secretary In Private Practice Module 9: Forms, Fees and Finances in General Practises Contracting Finance Practice Income Scotland Wales Northern Ireland Module 10: Using Information Technology Computers in General Practice Electronic Medicine Computers in Hospitals Maintaining Security Module 11: Medical Terminology and Clinical Aspects Pathology and X-ray Examinations Prescribing and Drugs Nurse Prescribing New Developments in Pharmacy Module 12: Audit, Health Economics and Ensuring Quality for the Medical Receptionist and Secretary Audit Health Economics and Cost-effective Medicine Private Finance Initiative Clinical Governance National Institute for Clinical Excellence (NICE) National Clinical Assessment Service (NCAS) National Service Framework (NSF) Patient Surveys Module 13: Complementary Medicine Acupuncture Alexander Technique Aromatherapy Chiropractic Homoeopathy Hydrotherapy Hypnotherapy Osteopathy Reflexology ------------------- ***Communication Skills Course*** Module 01: Introduction to Communication Module 02: The Communication Skills Module 03: Different Types of Communication Module 04: Different Methods of Communication Module 05: Styles of Communication Module 06: Barriers to Communication Module 07: Assessing Communication Competence: Relevant Criteria Module 08: Seven Actions for Effective Communication Module 09: Do's and Don'ts of Effective Communication ------------------- ***Level 1 Certificate in Well-being*** Module 01: Introduction to Stress and Stress Management Module 02: Develop an Awareness of Mental Health Module 03: Develop an Awareness of Substance Misuse Module 04: Introductory Awareness of the Importance of Healthy Eating and Drinking for Adults Module 05: Dementia Awareness ------------------- ***Level 5 Proofreading & Copy Editing*** Module 01: An Overview of Proofreading Module 02: Use of the Style Guide Module 03: Spelling and Grammar Module 04: Paper-based Proofreading Module 05: On the Screen Proofreading Module 06: Basics of Copy Editing Module 07: Copy Editing - the Use of Language Module 08: Copy Editing - Checking Accuracy and Facts Module 09: Copy Editing - Legal Checks Module 10: Career Development ------------------- ***Dealing With Difficult People*** Module 01: Difficult People and Their Difficult Behaviour Module 02: Communicating With Difficult People Module 03: Standing Up to Difficult People Module 04: A Quick Guide to the Seven Classically Difficult Types Module 05: Dealing with Bosses Who Drive You Barmy Module 06: Colleagues to Throttle Module 07: Dealing With Impossible People Module 08: The Temper Tantrum Type ------------------- ***Level 2 Award in Job Search and Interview Skills*** Module 01: Preparing to Achieve Own Job Goals Module 02: Promoting Yourself and Preparing for a Job Interview ------------------- ***Level 2 Customer Service*** Module 1: Introduction to Customer Service Module 2: Understanding the Organisation Module 3: Prepare to Deliver Excellent Customer Service Module 4: Communication in the Customer Service Role Module 5: Understand Customers ------------------- ***Mental Health Support Worker*** Module 01: An Overview of Mental Health Module 02: Mental Health Support Worker Module 03: Understanding Childhood and Adolescent Psychiatric Disorders Module 04: Understanding Stress and Anxiety Disorders Module 05: Understanding Schizophrenia Module 06: Understanding Personality Disorders Module 07: Understanding Mood Disorders Module 08: Understanding Eating & Sleeping Disorders Module 09: Understanding Self-Harm and Suicide Module 10: Treating Mental Illness with Medication and Therapy Module 11: Laws Related to Mental Health Module 12: Mental Health System Module 13: The Participation of the Service User ------------------- ***Workplace Stress Management*** Module 01: Workplace Stress Module 02: Rational and Irrational Beliefs Module 03: The ABC Framework of REBT Module 04: Cognitive Therapy (CT) Module 05: Cognitive Behavioural Therapy (CBT) in the Workplace Module 06: Conclusion ------------------- ***Anger Management*** Module 01: Introduction to Anger Module 02: The Process in Anger Module 03: Effect of Anger on Our Thinking Module 04: How to Manage Anger ------------------- Assessment Method After completing each module of the Medical Secretary & Receptionist, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Medical Secretary & Receptionist, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Medical Secretary & Receptionist is ideal for Health Care Professionals who work and will be working in healthcare settings such as hospitals, clinics, and healthcare facilities. Requirements Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path After completing this Medical Secretary & Receptionist, you will have developed a set of skills necessary for career advancement and will be able to pursue a variety of job opportunities, including - Medical Receptionist Medical Secretary Healthcare Administrator GP Receptionist Patient Coordinator Certificates Certificate of completion Digital certificate - Included

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Exhilarating and empowering dance classes based on neuroscience and designed specifically for individuals living with Parkinson's disease. These dynamic and fun-filled 8 week program aims to enhance physical mobility, mental well-being, and social interaction.