Welcome to the Qualifying Sales Course, where you will gain the essential skills and knowledge to become a successful sales professional. In this comprehensive program, you will learn how to identify and prioritize promising leads, ensuring that your sales efforts are focused on prospects with genuine potential. Through practical exercises and real-world scenarios, you will develop the expertise to qualify leads effectively, increase conversion rates, and ultimately boost your sales performance. Join us on this journey to master the art of qualifying sales, and take your career to new heights!
This course offers a swift and straightforward way to learn Python programming. It is thoughtfully designed, packed with hands-on exercises, and tailored to assist you in embarking on your Python 3 journey. No prior programming experience is necessary to enroll in this course.
------------------------NEW YEAR SALE ENDS TODAY------------------------ The world of fitness training is yours to explore! Knowing how to exercise correctly and use the equipment can maximise results and get you closer to achieving your goals. And we are here to help you with this exclusive 11-in-1 bundle. This course will cover topics such as the proper form for lifting weights, understanding resistance levels, mastering a cardiovascular workout, and more. In addition, this course educates you on the fundamentals of learning safely and effectively. A vital aspect of this program is exploring unusual methods of exercise. So many people are stuck in a rut doing the same mundane tasks day after day. But of course, with guidance, we can explore unconventional exercises like suspension training, building muscle, losing fat, getting fit, and kettlebells to mix up your routine and keep things interesting. You can also discover unusual methods of supplementation that can help reduce inflammation and boost immunity. In short, by attending this bundle, you will acquire knowledge and skills that will allow you to pursue a healthy lifestyle while building strength and endurance. So enrol now on this journey of becoming fit and confident! This Fitness Training Bundle Consists of the following Premium courses: Course 01: Personal Trainer: Healthy Fitness Course 02: Functional Skills - Fitness Course 03: Sports and Fitness Coaching Course 04: Kettlebell Fitness Course 05: Science-Based Workout: Build Muscle, Lose Fat & Get Fit Course 06: Home Workout for Fitness, Weight and Health Course 07: Pain Management Course 08: Understanding Nutrition and Health Level 4 Course 09: Immunity Boosting Food Course 10: Food and Mood: Improving Mental Health Through Diet and Nutrition Course 11: Ketogenic Diet: Lose Weight & Feel Amazing What you will discover are the following: How personal trainers train to keep up a good level of fitness. How to pick up practical abilities. Fitness using kettlebells: advantages. How to get healthy and gain muscle. How to exercise at home for health, fitness, and weight. Gaining knowledge about nutrition and health levels. What foods help the immune system? How food and nutrition can enhance mental wellness. Methods for weight loss. Enrol now in Fitness Training to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Essentials of UK VATexpertise and essential knowledge, which will assist you in reaching your goal. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This training is ideal for the following: Individuals who have the desire to train for fitness. Anyone interested in learning how to organise fitness exercises. Those who desire to expand their fitness businesses. Requirements Our Fitness is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path You can explore popular and in-demand careers associated with this course after completing it. Some job fields you can look into are: Wellbeing Personal Trainer Personal Trainer Fitness Coach Gym Instructor Explore each of the roles available and how you can start your career. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.
With Acting Coach Mel Churcher Introduction This Zoom course will offer ways to tap into your confident, powerful self; preparation for filming challenging self-tapes; new thoughts on screen work. Resist the idea of typecasting! You can play the roles you find difficult, or have never had the chance to work on. You can surprise yourself; find the joy of stepping into an unfamiliar self. Let’s open the gates and explore the deep or wild unknown – in a positive way. This course offers guidance, tips and exercises to enable your unique charisma to shine through in any role you play. Suitable both emerging talent and working professionals looking to improve. Meet Your Tutor Mel Churcher A-Lister Coach Mel Churcher is an international acting, dialogue and voice coach who has worked with companies including the Royal National Theatre, Royal Shakespeare Company and coaches a wide range of professionals from budding newcomers to top film stars like Daniel Craig, Angelina Jolie, Keira Knightley and Jet Li; from presenters like Raymond Blanc and Goldie to singers like Tricky and Joss Stone. Mel's Work Course Outline This course will increase your confidence with all aspects of screen work and with self-taping scenes for auditions. We’ll also work on a monologue that you film yourself during the course. This course will offer guidance, tips and exercises to enable your charisma to shine through in any role you play. All sessions are recorded and students expected to watch any filming done of themselves each evening. Also, during the course, to self-film a monologue, and work on a scene to self tape and submit to Mel at conclusion of the course. Day 1 -Monday | Time (UK) 10:30am – 1.00pm & 2:30pm – 5.15pm You will be introduced to the course, discuss screen acting, self-taping and talk about the actors’ toolbox. Mel will then invite you to each share a real-life story and do your given monologue. Here you will observe how specific you are, and how much muscle memory you still have in your body from your real experiences. You will explore games and techniques that allow you to find the same life and truth when you are using learned lines. Homework: Students to watch their work on playback. Day 2 -Tuesday | Time (UK) 10:30am – 1.00pm & 2:30pm – 5.15pm On day two you will continue on your real life stories and monologues. Continuing work on real stories/ monologues. Each actor will get individual time within the group. (all present can see but participant is filmed as solo performance to watch later.) Homework: Students to watch their work on playback. Scenes sent after class; partners chosen – these to be learned and self-taped after the course. Day 3 -Wednesday | Time (UK) 10:30am – 1.00pm & 2:30pm – 5.30pm On day three you will complete your individual monologue. Mel will also give you self-tape technical tips, elements toolbox and scenes read with partners. Homework: Studio watch their work on playback. Day 4 – Thursday | SELF WORK DAY – MEL NOT PRESENT Actors to film their monologues and send to Mel by 2pm latest! Scenes to be worked on in pairs (if possible) or explored alone. Day 5 – Friday | Time (UK) 10.30am – 1:00pm & 2.30pm – 5.15pm Watching filmed monologues together, with feedback. Toolbox, any remaining thoughts and games, feedbacks. roundup of the course. Homework: Students to film their scenes and send self-tapes within the next fortnight. (If no reader, course partner (or someone else) can read in remotely.) Every participant will have individual feedback on these self-tapes via a personal recording. Additional Information Features Intensive Short Course Small Class Size Held online via Zoom Suitable for all levels of ability Suitable if you are (17 yrs+) and committed to improving your screen acting skills Attracts a varied age range from 17 yrs+. International Students Welcome The course is taught in English, so it is important that you have proficient English language skills Learning Outcomes Increase your chances of getting work Add real life experiences to your acting performance Experience of working with an A-Lister Acting Coach Course Location Live Online Course Via Zoom Stable Internet Connection Required Webcam and Microphone Required Please log in at least 10 minutes before each session begins. A strong internet connection is required to join our live online courses and workshops. Please test your internet connection before booking as we cannot refund due to technical issues. Please familiarise yourself with Zoom before attending your workshop. Your camera will be required to be switched on during the workshop.Students will receive a Zoom link via email to join the workshop. Please log on at least 10 mins before the workshop begins.
ð Unlock the Power of Information Management with 'Information Overload - Surplus of Data, Deficit of Time' Course! ð Are you drowning in a sea of information but struggling to stay afloat with limited time? The digital age has blessed us with an abundance of data, yet mastering how to harness this information efficiently remains a challenge. â³ Time is your most valuable asset, and this course is your key to mastering the art of managing information overload! ð Our comprehensive course offers: Strategies for Efficient Information Processing: Learn techniques to sift through the surplus of data swiftly and extract the most relevant insights without getting overwhelmed. Productivity Hacks for Time Optimization: Discover time-saving methods and tools to streamline your workflow, allowing you to make the most of your precious time. Effective Organization and Prioritization Techniques: Gain insights into organizing information effectively and prioritizing tasks to maximize productivity without sacrificing quality. Mindfulness and Stress Management in Information Handling: Understand how to maintain a healthy balance and reduce stress while navigating through the data deluge. Practical Exercises and Real-Life Scenarios: Apply learned strategies through hands-on exercises and real-world scenarios to solidify your understanding and implementation. ð Taught by industry experts with years of experience in information management, this course equips you with the skills needed to conquer information overload, empowering you to thrive in today's data-driven world. ð Join a community of like-minded individuals and embark on a journey to master the art of handling information overload effectively! Course Curriculum Module- 1 00:00 Module- 2 00:00 Module- 3 00:00 Module- 4 00:00 Module- 5 00:00 Module- 6 00:00 Module- 7 00:00 Module- 8 00:00 Module- 9 00:00 Module- 10 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
This course is an exploration of our understanding of structural racism in the UK and provides a good foundation for anyone wanting to be a responsible ally. Are you working with young people, but struggling with conversations about race? Are you worried that you have been getting it wrong when it comes to race? Do you have questions about race that you are afraid to ask? This course is for you. Description Racism is a real problem in the UK, but it is much more hidden and covert than it has been in the past. People know its not ok to say the ’N-word’, but sadly, racism has permeated British society much more deeply than this. On this course we will help redefine the idea of racism and explain the complex nature of its modern day manifestation. We will explore how to talk with young people about race and particularly how to challenge when racism occurs. To achieve this, we need to start with ourselves. We will cover the idea of Unconscious Bias making us react differently to people based on our socialisation. We will cover the concept of White Privilege making it difficult for white people to get into the shoes of someone of another race. We will cover the concept of micro-aggressions that are difficult to report to a superior because they may be misconstrued as a mere “interpretation” of the situation and not an incident of racism. We will introduce the idea of the “racism binary”, and how we need to become more accountable for our own actions, and instead of getting offended, take responsibility when someone says something we did or said was racist. This can lead to a much more useful conversation than trying to defend yourself by saying “I’m not racist”. When we live in a world where racism doesn’t exist, only then can we say “I don’t see colour”, because it does exist, and it does have an impact on peoples lives. When racist incidents happen, people get hurt. Unfortunately, it is an all too familiar feeling for a lot of people in the UK who have been forced to accept it as part of life. Most of these situations will never be resolved, because they will never be reported. Poor handling of racist incidents teach young people not to say anything, thinking it will only make the situation worse. A lot of people believe that racism is never going away, because their experiences have confirmed this belief. There is a lot of work to be done, and the time is now. This course is an exploration of our own socialisation and personal expressions of race, which will leave you feeling positive and hopeful about the future. Be bold, and join us on this journey into the ever growing multicultural melting pot. Enquire for more information about this thought provoking training day. Learning objectives Develop understanding of modern racism in the UK Strengthen knowledge of key terminology Understanding how to think like an “Ally” Explore strategies for dealing with racism when we encounter it Developing our confidence and ability to hold conversations with young people about race Who is it for? Leadership teams seeking guidance and reflection Multi Agency Teams Social workers CAMHS teams Year Managers Primary and secondary staff teams College staff Early Years and School based Practitioners Heads and Deputies SENCOs Advanced Skills Teachers Primary and secondary teachers Local Authority Support Services Voluntary Organisations People who want to “get it right” Content AM What makes a good welcome? Why don’t we talk about race? History of racism in the UK Definition of modern racism – how racism manifests in a post-racist world Unconscious bias The ‘racism binary’ – taking accountability for our words/actions Examining our privilege What does your race mean to you? PM Trust and difference exercises – how can we become more trustworthy? What is good Allyship? What to do and what not to do Strategies for dealing with racism incidents Restorative Justice How can we create dialogue with young people about race? Affinity groups What does the ideal workplace/school look like? What actions will we take away?
ISO 31000:2018 is an international standard of Risk Management, the existence of it requires competent personnel to interpret its guidelines, address those to integrate Risk Management in an organization’s operations and audit organization to assess the implementation and effectiveness of overall implementation. This course is designed for professionals who are responsible of any aspect of Risk Management as well as for those, specifically, who are pursuing their career in the field of auditing Risk Management. This course enhances the knowledge and skills of delegates to understand the standard and audit it effectively. Course is consisting of study material in form of written details. Attendees of this course will be, on completion, competent to implement Risk Management, Plan, Conduct & Report 1st, 2nd & 3rd party audits. This course also discusses about different risk assessment techniques such as Brainstorming Structured or semi-structured interviews Delphi technique Check-lists Preliminary hazard analysis (PHA) HAZOP Hazard analysis and critical control points (HACCP) Toxicity assessment Structured “What-if” Technique (SWIFT) Scenario analysis Business impact analysis (BIA) Root cause analysis (RCA) Failure modes and effects analysis (FMEA) and failure modes and effects and criticality analysis (FMECA) Fault tree analysis (FTA) Event tree analysis (ETA) Cause-consequence analysis Cause-and-effect analysis Layers of protection analysis (LOPA) Decision tree analysis Human reliability assessment (HRA) Bow tie analysis Reliability centred maintenance Sneak analysis (SA)and sneak circuit analysis (SCI) Markov analysis Monte Carlo simulation Bayesian statistics and Bayes Nets FN curves Risk indices Consequence/ probability matrix Cost/benefit analysis (CBA) Multi-criteria decision analysis (MCDA) Features of Couse ✔ 100% Online Self-paced: Considering the busy lives, we have designed this course to be attended online without bounding with the schedules. To make it interactive, we have created different communication groups where candidate can discuss the points with other fellows as well as the trainers of course. ✔ Testing the Learning: Each section of course is covered with exercise to check your knowledge in real-time, and overall result is affected by exercises you complete. ✔ Self-Scheduling: This 40 Hours full fledge course is designed to match you schedule. You will get a life time access to this course and complete it on your ease. ✔ Superlative Material: The training is designed, developed and reviewed by competent auditors having an extensive experience of auditing in different regions of world. ✔ Approved Course: The course is approved by one of the well-known personal certifying body “IRCP”. Who should attend this? This course is recommended to be attended by those who are involved in implementation and/ or auditing of Risk Management System, specifically Risk Managers, Auditors and others willing to add credibility with a widely accepted qualification for auditing. Also, recommended to satisfy the applicable requirement of training and competence, if any. This course can add values to your profile if you are Intending to perform audits of RM. A Risk Management Executive/ Management Representative An Existing Internal Auditor A Ris Management Consultant Responsible for implementing the ISO 31000 standard. Responsibility to evaluate the outcome of internal RM audits and have responsibility/ authority to improve the effectiveness of the RM. Pursuing to make career in RM auditing. Course Duration: 40 Learning Hours and extended time of exercise & Exam. Certificate: Those who pass all exercises with 50% at least in each exercise and 70% overall marks will be awarded with successfully completion certificate with approval of Exemplar Global and a Lifetime validity. Language of Course: English Pre-Requisites: Knowledge of Risk Management