28 Quantitative Methods courses

Master the art of financial management as a sole trader with our comprehensive course. Learn essential skills such as budgeting, financial forecasting, and ratio analysis tailored to sole proprietorships. Gain insights into interpreting balance sheets, income statements, and cash flow statements to optimize your business's financial health. Whether you're a seasoned entrepreneur or just starting out, this course equips you with the knowledge and tools to confidently manage your finances and drive business success.

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now! Risk Assessment and Management is important for any business to grow and succeed. Learn the importance of risk assessment and management in this course. Explore the hazards and risks to update the necessary control measures for your organisation. Know the fundamentals of accident reports and the appropriate risk management techniques. Make a disaster recovery plan that will help in your business Risk Assessment actions. If you are someone who wants to pursue a career in risk management, then this Risk Assessment course is very suitable for you. Learning Outcomes of Risk Assessment: After completing this risk assessment course, learners will be able to: Gain in-depth knowledge about risk assessment and its types Know more about the risk evaluation process Learn how to manage risk at the workplace Get to know what are the benefits of risk assessment Increase your financial and technological risk assessment skills So, join our comprehensive risk assessment course before the offer ends and complete it at your earliest convenience. Why Choose Our Risk Assessment Course? Opportunity to earn a certificate accredited by CPD. Get a free student ID card with this Risk Assessment Get instant access to this Risk Assessment course. Learn Risk Assessment from anywhere in the world Risk Assessment is affordable and simple to understand Risk Assessment is entirely online, interactive lesson with voiceover audio Lifetime access to the Risk Assessment course materials Risk Assessment comes with 24/7 tutor support *** Course Curriculum of the Risk Assessment Course *** Module 01: Risk and Types of Risk Overview of various risks, including financial, operational, strategic, and compliance risks, and their potential impacts on businesses. Module 02: The Risk Evaluation Process Introduction to the process of evaluating risks, including identification, assessment, and prioritisation of risks. Module 03: Risk Analysis & Assessment Covers techniques for analysing and assessing risks, focusing on qualitative and quantitative methods. Module 04: Risk Assessment and Common Risks Discussion on conducting risk assessments and identifying common risks faced by organisations. Module 05: Introduction to Risk Management Provides a foundation in risk management, including key concepts, principles, and the importance of managing risks effectively. Module 06: Risk Management Process Detailed overview of the risk management process, from risk identification to monitoring and review. Module 07: Benefits of Risk Management Highlights the advantages of effective risk management, such as improved decision-making, reduced losses, and enhanced business resilience. Module 08: Enterprise Risk Management Explores enterprise risk management (ERM) frameworks and their application in managing risks across an organisation. Module 09: Managing Financial Risks Focuses on identifying and managing financial risks, including market, credit, and liquidity risks. Module 10: Managing Technology Risks Discusses strategies for managing technology risks, including cybersecurity, data protection, and IT system failures. Assessment Start your learning journey straight away with this Risk Assessment course and take a step toward a brighter future! The Risk Assessment course is designed to provide participants with a comprehensive understanding of the principles, methodologies, and techniques involved in effectively assessing and managing risks. In today's dynamic business environment, organisations face a wide range of risks that can have a significant impact on their operations, finances, and reputation. This Risk Assessment course equips learners with the knowledge and skills needed to identify, analyse, evaluate, and mitigate risks across various domains. CPD 10 CPD hours / points Accredited by CPD Quality Standards Module 1: Risk and Types of Risk 11:15 1: Risk and Types of Risk Preview 11:15 Module 2: The Risk Evaluation Process 20:16 2: The Risk Evaluation Process 20:16 Module 3: Risk Analysis & Assessment 15:04 3: Risk Analysis & Assessment 15:04 Module 4: Risk Assessment and Common Risks 11:31 4: Risk Assessment and Common Risks 11:31 Module 5: Introduction to Risk Management 13:06 5: Introduction to Risk Management 13:06 Module 6: Risk Management Process 08:38 6: Risk Management Process 08:38 Module 7: Benefits of Risk Management 08:47 7: Benefits of Risk Management 08:47 Module 8: Enterprise Risk Management 15:39 8: Enterprise Risk Management 15:39 Module 9: Managing Financial Risks 20:22 9: Managing Financial Risks 20:22 Module 10: Managing Technology Risks 14:04 10: Managing Technology Risks 14:04 Order Your Certificate 02:00 11: Order Your CPD Certificate 01:00 12: Order Your QLS Endorsed Certificate 01:00 Who is this course for? Risk Assessment This risk assessment course is available to all. So, if you are interested in learning more about this topic, enrol and start your learning journey now. Requirements Risk Assessment You don't need any prior knowledge or qualifications to join this risk assessment course. Career path Risk Assessment After the completion of this risk assessment course. Certificates Certificate Accredited by CPD Digital certificate - Included Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed Certificate Accredited by CPD Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Course Information In today's evolving landscape, pharmacovigilance (PV) systems face ongoing challenges due to global, national, and company-specific events. This course focuses on developing personnel equipped to navigate these complexities and improve the safe use of medicinal products. We emphasise continuous global thinking, communication, and strategic planning, ensuring adaptability across various levels. The course explores maintaining PV system functionality while adhering to regulatory requirements. Participants will apply European regulatory standards to enhance and sustain PV system effectiveness, contributing to improvement initiatives and ensuring operational integrity. The course covers PV system intricacies, regulatory compliance, and a 'systems approach' for auditors, quality assurance personnel, and PV practitioners. Through presentations and workshops, attendees gain insights into implementing and maintaining an effective PV system. Who should attend? Auditors Pharmacovigilance Quality System Managers Pharmacovigilance scientists The QPPV. Course benefits Throughout the course delegates will explore application of the legal requirements for the PV system and quality system and how to assure these systems. They will demonstrate their ability to contribute to: A systematic investigation of the pharmacovigilance system and its quality system Examination of how the pharmacovigilance system and quality system interact to achieve compliance. The risk-based approach to auditing the PV system and quality system The maintenance of 'inspection readiness' Explore how to investigate the complex PV system Discussions about how to monitor and maintain the PV system and assure compliance. Course Objectives Clarify what has to be done: Explore application of the legal requirements. Explore how to do what has to be done: Adopt a systemic approach to systematically investigate or implement and maintain the PV system and quality system Examine how a compliant PV system and a compliant quality system interact to achieve compliance with regulatory requirements for PV Explore how to investigate the complexity of the PV system. Discus how to identify what is missing or what needs to be improved: Discuss how to monitor and maintain the PV system and assure compliance. This course will assist delegates with: An understanding of key system principles, A practical approach to implementing, maintaining and monitoring the PV system and its quality system A procedure to share expertise to increase efficiency and confidence. This course is structured to encourage delegates to: Discuss and develop ideas - Share knowledge and experiences - Solve specific problems.  By the end of the course delegates will be able to: Understand better the pharmacovigilance system, its quality system and how the components interact to achieve the objectives of pharmacovigilance Investigate, and analyse the pharmacovigilance system and to identify what is missing and what needs to be improved. Tutors Tutors will be comprised of (click the photos for biographies): Jana Hyankova Head of PV Department, IVIGEE Services a.s. Programme Please note timings may be subject to alteration. Day 1 08:30 Welcome, registration, course objectives and introduction to work groups Housekeeping notices, meet other delegates, explore how to work in your work group, course objectives. Clarify the definition and objectives of Pharmacovigilance. 09:30 The Regulatory Framework for Pharmacovigilance Identify the relevant regulations and directives. Explore GVP guidance, structure of the modules and standard format of each module. 10:00 The Pharmacovigilance System Exploration of how to organise what has to be done, communications. Exploration of the structures and processes for pharmacovigilance. 10:30 Break 11:00 Workshop 1 and Feedback Exploring an organisational model of the pharmaceutical company- cooperation between PV and other stakeholders. 12:00 The Quality System for pharmacovigilance Exploration of the structures, processes for the PV quality system and discussion of how it interacts with the pharmacovigilance system to meet the objectives of pharmacovigilance effectively and efficiently. 13:00 Lunch 14:00 Workshop 2 and Feedback The quality system puzzle. Explore the organisation of the PV quality system and how it interacts with the PV system. 14:30 The Quality System for pharmacovigilance Exploration of the structures processes for the PV quality system and discussion of how it interacts with the pharmacovigilance system to meet the objectives of pharmacovigilance effectively and efficiently. 15:00 Description of PV System 15:30 Break 15:30 Workshop 3 and Feedback The quality system puzzle Explore the organisation of the PV quality system and how it interacts with the PV system. 16:00 The Pharmacovigilance Safety Master File Construction of the Pharmacovigilance System Master File and its purpose. 17:00 Workshop 3 and Feedback Description of PV System. 18:00 End of Day Day 2 08:30 Drug Safety in the Clinical Trial Environment - Part 1 Information flow and responsibilities of the sponsor. 09:30 Workshop 4 and Feedback Drug Safety in the Clinical Trial environment: Information flow and responsibilities of the sponsor. 10:30 Break 11:00 Drug Safety in the Clinical Trial Environment - Part 2 Information flow and responsibilities of the sponsor. 12:00 Lunch 13:00 Workshop 5 and Feedback Drug Safety in the clinical trial environment: Information flow and responsibilities of the sponsor. 13:30 Processing of Safety Data Exploration of safety data processing, verification, validation, follow up, formatting and collation, reporting requirements, quality and data management. 15:00 Break 15:30 EudraVigilance Exploration of how EudraVigilance supports the PV system. 16:15 Signal Detection and Evaluation/Risk Benefit Assessment: Pharmacovigilance Risk Assessment Committee (PRAC): What is a signal? What are the regulatory requirements? How is signal detection and evaluation conducted? Qualitative and quantitative methods of signal detection. Risk benefit assessment. 17:00 Risk Management Plans A cornerstone of Pharmacovigilance safety communications, direct healthcare professional communication 18:00 End of Day Day 3 08:30 The Pharmacovigilance Risk Assessment Committee (PRAC) Exploration of how good practice is achieved. Composition, role and responsibilities. Examples of referrals. 09:15 Development Safety Update Reports (DSURs): Regulatory requirements, exploring good practice, report format, reference safety information, schedule of submission, analysis evaluations and distribution. 10:00 Periodic Safety Update Reports (PSURs)/Periodic Benefit Risk Evaluation Reports (PBRERs) Regulatory requirements, exploring good practice, report format, reference safety information, schedule of submission, analysis evaluations and distribution. 10:30 Break 11:00 Periodic Safety Update Reports (PSURs)/Periodic Benefit Risk Evaluation Reports (PBRERs) Regulatory requirements, exploring good practice, report format, reference safety information, schedule of submission, analysis evaluations and distribution. 12:00 Workshop 6 and Feedback To explore the compilation and submission of the PSUR. 13:00 Lunch 13:30 Role of the QPPV Exploration of the legal responsibilities of the QPPV and the MAH. 14:30 Break 15:00 Workshop 7 and Feedback To explore the challenges faced by the QPPV. 15:30 End of course Extra Information Face-to-Face Course Course material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device< Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking You will need a stable internet connection, a microphone and a webcam. CPD Points 23 Points   Development Level Develop

Understand the needs and benefits arising from a structured project risk management approach, the process and supporting methods for identifying analysing and responding to risks. Course overview Duration: 2 day (13 hours) Our Project Risk Management course addresses risk management throughout the project lifecycle. This course is designed for project staff, including project leaders, sponsors, project team members, support staff and functional staff involved in project activity. The workshop is especially suited to teams working on bids, feasibility and project start up. The workshop covers the need and benefits arising from a structured project risk management approach, the process and supporting methods for identifying analysing and responding to risks, human behavioural factors affecting risk management performance, and organisational interfaces and governance requirements. Objectives  By the end of the course you will be able to: Describe success factors and benefits arising from effective risk management Explain human behaviour factors affecting risk management Establish the project context and conduct an initial risk assessment Define an appropriate strategy and produce a risk management plan Define risk identification strategies and apply appropriate identification methods Identify and record important risk information including ownership Establish risk probability and impact levels; produce probability impact charts and severity time charts Establish exposure levels and contingency requirements Explain the principles of quantitative analysis Define and evaluate response options Implement effective risk management process control Content Principles of risk management Terminology Purpose Success factors Benefits and overall process Human factors that impact on risk management Initiate Analyse and determine context factors relevant to risk management Develop a robust risk management strategy for the life of the project How to conduct an initial risk assessment and define an outline strategy Identification Development of a risk identification strategy Appropriate methods and their strengths and weaknesse Determine an appropriate strategy and identify risks in a given case study Animating text Slide titles Bullet points Applying animation to Slide Master Assessment Methods commonly used for assessing and prioritising risks Evaluating exposure and contingency requirement Demonstration of quantitative methods and exercises to assess risks and contingency levels Planning and implementing responses Appropriate methods for responding to risks Defining implementation and control plans Assigning ownership Defining appropriate plans Conducting net benefits analysis and examining effectiveness Manage process Organisational interfaces and specific requirements to ensure appropriate controls Improvements and compliance with governance requirements

Master the art of Financial Risk Management with our comprehensive course on Strategies and Best Practices. Explore risk identification, assessment, and mitigation techniques, delve into market and credit risk management, and gain insights into operational and liquidity risk. Stay compliant with regulatory standards, understand the importance of risk culture, and enhance your governance skills. Elevate your financial expertise and make informed decisions in today's dynamic markets. Enroll now for a transformative learning experience!

About this Virtual Instructor Led Training (VILT) This 4 half-day Virtual Instructor Led Training (VILT) course presents the principles and best practices of portfolio management in the upstream (E&P) oil and gas industry. The VILT course is equally valuable for small independents, large integrated international companies and national oil companies. The VILT course consists of presentations, case studies, illustrative practical exercises and syndicate discussions. Particular emphasis is given to pragmatic portfolio management approaches and solutions which can be implemented swiftly without recourse to major investments in planning and portfolio management software. The VILT course will draw on examples from your expert course leader's 35+ years' experience in the oil and gas industry as an explorationist, upstream vice-president and management consultant. The VILT course handout will comprise softcopy slides used in the presentation and a softcopy workbook for the exercises. Participants will gain proficiency in portfolio management techniques, understand how and why to undertake this activity and be able to apply key concepts directly in the business of their teams / divisions. The VILT course will be presented over 4 half-days, using Microsoft Teams or Zoom and a proprietary set of VILT tools. Participants will be asked to complete a pre course questionnaire (PCQ) addressing their objectives and experience, and attend a session to familiarise themselves with VILT tools before course commencement.     Training Objectives To present the tools, concepts and principles of portfolio management To define the quantitative metrics which are used to describe projects in a portfolio To understand the benefits of portfolio management at different stages of the upstream business: in strategy development, opportunity screening, business development, drilling prospects, conducting appraisal of discoveries and developing fields To put portfolio management in the organisational context by describing the role of the portfolio management team and examining how value assurance (quality control) is best conducted on portfolio data for projects and assets To demonstrate how portfolio management contributes to improved business performance By the end of the VILT course, participants will understand: Key concepts and principles of portfolio management How to design a simple portfolio database and describe complex projects in a small number of objective metrics How to segment the portfolio into meaningful units How to use portfolio data in making business choices and decisions at the strategic and tactical levels The extent to which it is meaningful and reasonable to make comparisons across different portfolio segments How the portfolio management team can support the wider business in decision-making Target Audience This VILT course is specially designed for exploration and development geoscientists, E&P economists and finance staff, and E&P managers. Both technical and non-technical staff will benefit from the concepts presented. Companies are encouraged to send participants from different functions and seniority levels to gain great benefits especially those which would like to implement the concepts presented in this VILT course. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. The VILT course will be presented in an interactive workshop format that allows for discussion. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Your expert course leader draws on more than 35 years of experience managing, reviewing and directing projects in all aspects of the exploration business: from exploration business development (new ventures), through prospect maturation and drilling, to the appraisal of discoveries. He has more than 30 years' experience with Shell International, followed by 10 years consulting to NOCs in Asia Pacific, Africa and South America and independent oil companies in the United Kingdom, continental Europe and North America. Other than delivering industry training, he has worked on projects for oil & gas companies of all sizes, including independents, national oil companies and (super)-majors, private equity firms, hedge funds and investment banks, and leading management consulting firms. He is an alumnus of Cambridge University. He has M.A and Ph.D. degrees in geology and is a Fellow of the Geological Society of London as well as a respected speaker on management panels at international conferences. Professional Experience Management consultancy & executive education: Advice to investment banks, businesses and major consulting firms. Specialist expertise in upstream oil & gas, with in depth experience in exploration strategy, portfolio valuation and risk assessment. Leadership: Managed and led teams and departments ranging from 3 - 60 in size. Provided technical leadership to a cadre of 800 explorationists in Shell worldwide. Member of the 12-person VP team leading global exploration in Shell, a $3 bln p.a. business and recognised as the most effective and successful among its industry peers. Accountability & decision-making: Accountable for bottom-line results: in a range of successful exploration ventures with budgets ranging from $10's million to $100's million. Made, or contributed to, complex business decisions / investments, taking into account strategic, technical, commercial, organisational and political considerations. Corporate governance: Served as non-executive director on the Boards of the South Rub al Khali Company (oversight of gas exploration studies and drilling in Saudi Arabia) and SEAPOS B.V. (exploration deep-water drilling and facilities management). Technical & operations: Skilled in exploration opportunity evaluation, the technical de risking of prospects, portfolio analysis and managing the interface between exploration and well engineering activities. Unparalleled knowledge of the oil and gas basins of the world, and of different operating regimes and contractual structures, ranging from Alaska, Gulf of Mexico and Brazil, through to the Middle East, former Soviet Union, Far East and Australia. Safety: Following an unsatisfactory audit, became accountable for safety performance in Shell's exploration new ventures. Through personal advocacy and leadership of a small team, delivered pragmatic and effective HSE systems, tools and staff training / engagement and a dramatically improved safety record. R&D: Experience in the 3 key roles in R&D: scientific researcher, research manager, and 'customer' for R&D products. After re-defining Shell's exploration R&D strategy, led the re-structuring of the R&D organization, its interface with 'the business' and approaches to deployment and commercialization. Strategy: Accomplished at formulating competitive strategies in business, R&D and technology deployment, translating them into actionable tactics and results. Defined the exploration strategy of PDO (a Shell subsidiary in Oman) and latterly of Shell's global exploration programme. Professional education, behavioural/motivational coaching: Experienced in organisational re-design, change management, leadership education and talent development. Commercial skills: Personally negotiated drilling compensation claims, educational contracts and E&P contracts, with values of $5 million to $100+ million. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

The CILT(UK) Level 6 Advanced Diploma in Logistics and Transport qualification provides the strategic management skills and tactical insight necessary for professional and business development in the logistics and transport industry. It bridges the gap between the undergraduate CILT(UK) Level 5 Professional Diploma in Logistics and Transport and the postgraduate standard of a Master’s degree.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Course Overview Discover how to manage business hazards and seize the opportunities related to your organisation's goals with this course on Enterprise Risk: Identification and Mitigation Level 2. The principles of risk management are crucial to commercial success and operational excellence. Taking this training will help you develop strategies to assess and prepare for potential losses or harm that can prevent a company from achieving its ambitions. This Business Risk Management tutorial covers all concepts, theories, and practical methods for ensuring that you will be ready for all eventualities in your chosen marketplace. From valuable quantitative measurements to crucial data analysis, the expert guidance given here will empower you to use them when they are most needed. With professional simulations and real-world scenarios offered, you will be shown how to expect the unexpected and face it with confidence. This best selling Enterprise Risk: Identification and Mitigation Level 2 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Enterprise Risk: Identification and Mitigation Level 2 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Enterprise Risk: Identification and Mitigation Level 2 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Enterprise Risk: Identification and Mitigation Level 2 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Enterprise Risk: Identification and Mitigation Level 2, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Enterprise Risk: Identification and Mitigation Level 2 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Enterprise Risk: Identification and Mitigation Level 2 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.