3656 Model courses delivered On Demand

Venturing into the intricate labyrinth of risk and finance, our course, 'Actuary Certification: Navigating the Complex World of Risk and Finance' serves as your guiding beacon. Through this comprehensive journey, participants will unravel the multifaceted role of actuaries and their symbiotic relationship with their environment. Delve deep into the valuation of cash flows, deterministic models, and the life table's myriad intricacies. Embrace an in-depth understanding of life annuities, insurance structures, and the enthralling world of stochastic life contingencies. Furthermore, this course equips learners with the expertise to tackle taxation, inflation, and the nuances of premium calculation, ensuring a holistic approach to the actuarial realm. Learning Outcomes Understand the foundational principles and role of actuarial science in risk and finance. Analyse and interpret life tables, annuities, and insurance models. Apply stochastic methodologies to insurance and annuities. Evaluate the implications of taxation and inflation on financial models. Design and assess various risk models, focusing on uncertain payment and profit testing. Why buy this Actuary Certification: Navigating the Complex World of Risk and Finance? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Actuary Certification: Navigating the Complex World of Risk and Finance there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Actuary Certification: Navigating the Complex World of Risk and Finance course for? This Actuary Certification: Navigating the Complex World of Risk and Finance does not require you to have any prior qualifications or experience. You can just enrol and start learning. Individuals keen to dive into the actuarial sector. Finance and risk management graduates aspiring for a deeper understanding. Professionals in the insurance sector aiming to upscale their knowledge. Mathematics enthusiasts wishing to channel their skills in a finance-oriented domain. Corporate strategists seeking to enhance risk management techniques. Prerequisites This Actuary Certification: Navigating the Complex World of Risk and Finance does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Actuary Certification: Navigating the Complex World of Risk and Finance 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. Career path Actuarial Analyst: £30,000 - £50,000 Risk Management Specialist: £40,000 - £65,000 Insurance Underwriter: £25,000 - £50,000 Financial Planner: £35,000 - £60,000 Actuarial Consultant: £50,000 - £90,000 Portfolio Manager: £55,000 - £120,000 Course Curriculum Module 01: Introduction to Actuary Introduction to Actuary 00:12:00 Module 02: Actuaries and Their Environment Actuaries and Their Environment 00:14:00 Module 03: The Valuation of Cash Flows The Valuation of Cash Flows 00:12:00 Module 04: The Basic Deterministic Model The Basic Deterministic Model 00:11:00 Module 05: The Life Table The Life Table 00:11:00 Module 06: Life Annuities Life Annuities 00:14:00 Module 07: Life Insurance Life Insurance 00:12:00 Module 08: The Stochastic Life Contingencies Model The Stochastic Life Contingencies Model 00:11:00 Module 09: The Stochastic Approach to Insurance and Annuities The Stochastic Approach to Insurance and Annuities 00:11:00 Module 10: Taxation and Inflation Taxation and Inflation 00:08:00 Module 11: Probabilistic Models, Uncertain Payment and Profit Testing Probabilistic Models, Uncertain Payment and Profit Testing 00:08:00 Model 12: Individual Risk Models Individual Risk Models 00:07:00 Module 13: Principles of Premium Calculation Principles of Premium Calculation 00:10:00 Module 14: Multiple Decrement Theory Multiple Decrement Theory 00:09:00

Embark on a transformative journey with 'Demystifying Depreciation Accounting: Financial Insights'. This course unravels the intricate world of depreciation accounting, offering a comprehensive understanding from its foundational concepts to its real-world applications. Dive deep into the depreciation model, explore enlightening case studies, and stay ahead with insights on emerging trends and future developments. By the end of this course, you'll possess a robust knowledge of depreciation reporting and compliance, positioning you at the forefront of financial expertise. Learning Outcomes Understand the fundamental principles of depreciation accounting. Analyse and interpret the depreciation model in-depth. Evaluate real-world scenarios through case studies. Master the nuances of depreciation reporting and compliance. Stay updated with the latest trends and anticipated shifts in depreciation accounting. Why buy this Demystifying Depreciation Accounting: Financial Insights? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Demystifying Depreciation Accounting: Financial Insights for? Finance and accounting students seeking a deeper understanding of depreciation. Business owners aiming to enhance their financial literacy. Accountants looking to refresh or expand their knowledge. Financial analysts aiming to strengthen their analytical skills. Professionals transitioning into finance or accounting roles. Career path Financial Accountant: £40,000 - £55,000 Management Accountant: £45,000 - £60,000 Financial Analyst: £35,000 - £50,000 Finance Manager: £50,000 - £70,000 Compliance Officer: £30,000 - £45,000 Financial Consultant: £45,000 - £65,000 Prerequisites This Demystifying Depreciation Accounting: Financial Insights does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 1: Introduction to Depreciation Accounting Introduction to Depreciation Accounting 00:20:00 Module 2: Accounting for Depreciation Accounting for Depreciation 00:22:00 Module 3: Deep Dive into the Depreciation Model Deep Dive into the Depreciation Model 00:14:00 Module 4: Case Studies and Real-World Applications Case Studies and Real-World Applications 00:11:00 Module 5: Depreciation Reporting and Compliance Depreciation Reporting and Compliance 00:13:00 Module 6: Emerging Trends and Future Developments Emerging Trends and Future Developments 00:18:00

Conflict Resolution Skills (On-Demand) Many organizations have assumed that workplace conflict is always destructive. So, they have often believed that conflict is best dealt with by managers or even via policies and procedures. After all, conflict creates workplace stress and leads to many performance problems, generating very real organizational costs! However, savvy organizations have embraced the fact that when conflict is understood and harnessed, it can be leveraged to add value to teams and even enhance performance. With the right knowledge, skills, training, and practice, conflict can be productive and make organizations better! In this highly interactive course, learners will discover the connection between individual conflict response and team-empowering conflict resolution skills. Participants will explore conflict's visceral dynamics and the nuanced behaviors we individually engage in to communicate and respond to conflict. Learners will apply techniques for transforming unproductive conflict responses into productive ones. Additionally, learners will use a systematic method that prepares them to objectively dissect real-world conflict, while practicing many strategies for resolving it. They will also develop proactive conflict approach plans, which they can transfer back to their own workplaces. At the end of this program, you will be able to: Recognize the organizational costs of conflict Explain our physical and mental responses to conflict Communicate proactively and effectively with different types of people during conflict Replace unproductive conflict responses with productive ones Use the Conflict Resolution Diagram (CRD) process and conflict resolution approaches Relate team stages of development to shifts in conflict Develop a proactive conflict approach for your organization Create a conflict resolution plan for a real-world scenario Getting Started Introductions and social agreements Course goal and objectives Opening activities Conflict Facilitation Readiness Conflict responses and perceptions Conflict basics Conflict and organizations Dynamics of conflict Conflict Styles and Communication A look at the color energies model Conflict through the color energies and DiSC® lens Communication with opposite color energies Individual Response to Conflict The anatomy of conflict Recognizing unproductive conflict responses 4 steps to productive conflict Choosing productive conflict responses Team Performance and Conflict High-performing team relationships Conflict and project team performance Conflict Resolution Diagram (CRD) and process Conflict Facilitation - Preparation Recognizing context and stakeholder needs Using team conflict resolution approaches Preparing for Crucial Conversations® Conflict Facilitation - Clarity Exposing assumptions and biases Defining the conflict and using the CRD Conflict Facilitation - Action Proactive conflict management Conflict facilitation practice Summary and Next Steps Review Personal action plans

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

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Managing Complex Projects: On-Demand As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition

Delve into the fascinating world of particle physics and nuclear phenomena with our comprehensive course. Designed for curious minds and aspiring physicists, this course explores the fundamental principles and advanced concepts shaping our understanding of the universe. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course on Particle Physics and Nuclear Physics, learners will explore the fundamental building blocks of matter and the forces that govern them. They'll delve into the intricate world of elementary particles, understanding their properties and interactions. The course covers the comprehensive Standard Model, which categorizes these particles and their behavior. Nuclear Physics will be studied, focusing on the structure and dynamics of atomic nuclei, essential for understanding energy production and atomic stability. Particle Accelerators, powerful tools in physics research, will be examined to grasp how scientists study particles at high energies. Additionally, learners will explore Radiation Detectors, crucial devices used to detect and measure radiation, essential for both scientific research and practical applications like medical imaging. This course equips learners with a deep understanding of the universe at its most fundamental levels, preparing them for further studies or careers in physics, engineering, or related scientific fields. Course Curriculum Module 01: Introduction to Particle Physics Module 02: Elementary Particles Module 03: The Standard Model Module 04: Nuclear Physics Module 05: The Nucleus Module 06: Particle Accelerators Module 07: Radiation Detectors Learning Outcomes: Understand fundamental principles of Particle Physics and Nuclear Physics. Identify different types of elementary particles and their properties. Explain the components and interactions within the Standard Model. Analyze the structure and properties of atomic nuclei. Describe the operation and functions of particle accelerators. Evaluate the principles and applications of radiation detectors. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Physics undergraduates seeking advanced particle physics knowledge. Researchers in physics looking to specialize in particle accelerators. Science educators wanting to enhance their understanding of nuclear physics. Engineers involved in developing radiation detection technologies. Technicians working with particle accelerators in research institutions. Career path Nuclear Physicist Particle Accelerator Engineer Radiation Safety Officer Nuclear Research Scientist Particle Physics Researcher Nuclear Facility Technician Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning for Predictive Maps in Python and Leaflet comes with accredited certification from CPD, 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 Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00

Uncover the secrets behind financial foresight in our captivating Actuarial Science course. Navigate through the intricate world of financial risk assessment and valuation with a curriculum meticulously designed to empower you with the skills demanded in today's dynamic financial landscape. Delve into the realm of cash flow valuation and deterministic models, gaining insights into the backbone of financial decision-making. Explore life tables, annuities, and insurance, mastering the stochastic approach to contingencies. Confront challenges posed by taxation and inflation, unravel probabilistic models, and refine individual risk assessment. Embrace the principles of premium calculation and delve into the intricacies of multiple decrement theory. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this riveting exploration, discover the art of individual risk models and the principles of premium calculation. Craft a profound understanding of multiple decrement theory, equipping yourself with indispensable knowledge for navigating the complexities of financial landscapes. Elevate your financial acumen with this comprehensive exploration of actuarial science, where each module unravels a layer of strategic financial insight. Course Curriculum Module 1: Introduction to Actuary Module 2: Actuaries and Their Environment Module 3: The Valuation of Cash Flows Module 4: The Basic Deterministic Model Module 5: The Life Table Module 6: Life Annuities Module 7: Life Insurance Module 8: The Stochastic Life Contingencies Model Module 9: The Stochastic Approach to Insurance and Annuities Module 10: Taxation and Inflation Module 11: Probabilistic Models, Uncertain Payment and Profit Testing Module 12: Individual Risk Models Module 13: Principles of Premium Calculation Module 14: Multiple Decrement Theory Learning Outcomes: Analyze and value cash flows with precision for strategic decision-making. Master the stochastic life contingencies model for advanced risk assessment. Apply principles of premium calculation to craft financially sound strategies. Develop a deep understanding of taxation and inflation in financial scenarios. Navigate uncertainties with individual risk models for robust financial planning. Acquire expertise in multiple decrement theory for comprehensive risk management. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Financial Analysts seeking advanced risk assessment skills. Actuarial Enthusiasts eager to delve into stochastic life contingencies models. Strategic Planners aiming to apply premium calculation principles effectively. Financial Managers wanting to master taxation and inflation dynamics. Risk Management Professionals looking to enhance individual risk modeling skills. Career path Financial Analyst Risk Manager Actuarial Consultant Investment Strategist Insurance Analyst Pension Fund Manager Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Highlights of the Course Course Type: Online Learning Duration: 11 Hours 11 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 retail analytics and management Understand the core competencies and principles of retail analytics and management Explore the various areas of retail analytics and management Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert retail manager Retail Analytics In Microsoft Excel Course Master the skills you need to propel your career forward in Microsoft excel. This course will equip you with the essential knowledge and skillset that will make you a confident office admin and take your career to the next level. This comprehensive retail analytics in Microsoft excel course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this retail analytics in Microsoft excel 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 Microsoft excel practice and equip you with the essential skills, confidence and competence to assist you in the Microsoft excel industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Microsoft excel. 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 office admin or for people who are aspiring to specialize in Microsoft excel. Enroll in this retail analytics in Microsoft excel course today and take the next step towards your personal and professional goals. Earn industry-recognized 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 retail analytics in Microsoft excel 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 Microsoft excel 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 retail analytics in Microsoft excel 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 retail analytics in Microsoft excel 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 retail analytics in Microsoft excel 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 Course Introduction Introduction 00:03:00 Part 1: Forecasting Basics of Forecasting 00:05:00 Creating Linear Model with Trendlines 00:08:00 1.1 Getting Data Ready For Regression Model Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Univariate analysis and EDD 00:03:00 Discriptive Data Analytics in Excel 00:10:00 Outlier Treatment 00:04:00 Identifying and Treating Outliers in Excel 00:04:00 Missing Value Imputation 00:03:00 Identifying and Treating missing values in Excel 00:04:00 Variable Transformation in Excel 00:03:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy Variable Creation in Excel 00:07:00 Correlation Analysis 00:09:00 Creating Correlation Matrix in Excel 00:08:00 1.2 Forecasting Using Regression Model The Problem Statement 00:01:00 Basic Equations and Ordinary Least Squares (OLS) method 00:08:00 Assessing accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy: RSE and R squared 00:07:00 Creating Simple Linear Regression model 00:02:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting results of Categorical variables 00:05:00 Creating Multiple Linear Regression model 00:07:00 1.3 Handling Special Events Like Holiday Sales Forecasting in presence of special events 00:02:00 Excel: Running Linear Regression using Solver 00:08:00 Excel: Including the impact of Special Events 00:22:00 1.4 Identifying Seasonality & Trend for Forecasting Models to identify Trend & Seasonality 00:06:00 Excel: Additive model to identify Trend & Seasonality 00:09:00 Excel: Multiplicative model to identify Trend & Seasonality 00:06:00 Market Basket Analysis Market Basket and Lift - Introduction 00:08:00 Named Ranges - Excel 00:10:00 Indirect Function - Excel 00:05:00 2-way lift calculation in Excel 00:11:00 2-way lift calculation - Dynamic 00:07:00 2-way lift data table creation 00:07:00 3-way lift calculation 00:19:00 Store Layout optimization using Lift values 00:15:00 RFM (Recency, Frequency, Monetary) Analysis RFM (recency, frequency, monetary) Analysis 00:08:00 RFM Analysis in Excel- Part 1 00:16:00 RFM Analysis in Excel- Part 2 00:12:00 Part 2: Pricing Part 2: Pricing Steps of setting a Pricing policy 00:03:00 Different Pricing Objectives 00:07:00 2.1 Estimating Demand Estimating Demand 00:07:00 Forms of Demand Curve 00:02:00 Excel: Estimating Linear Demand Curve 00:08:00 Excel: Estimating Power Demand curve with Elasticity 00:05:00 Excel: Estimating Power Demand Curve with points 00:03:00 Subjective Demand curve 00:01:00 Excel: Estimating Subjective Demand Curve 00:02:00 2.3 Evaluating Pricing Strategies Price Bundling 00:07:00 Types of Bundling 00:08:00 The Bundling Problem 00:04:00 Excel: Solving Bundling problem Part 1 00:14:00 Excel: Solving Bundling problem Part 2 00:08:00 Non-Linear Pricing Strategies 00:03:00 Excel: Solving Bundling problem (Price Reversal) 00:08:00 3.1 Lifetime Customer Value Lifetime Customer Value - Key concepts 00:09:00 Lifetime Customer Value - Excel model 00:11:00 3.2 Variations And Sensitivity Analysis Sensitivity Analysis in Excel 00:07:00 Variations in finding customer value 00:07:00 Appendix 1: Excel Crash Course Basics 00:08:00 Worksheet Basics 00:16:00 Entering values and Formulas 00:07:00 Data Handling Basics - Cut, Copy and Paste 00:14:00 Saving and Printing - Basics 00:09:00 Basic Formula Operations 00:13:00 Mathematical Formulas 00:19:00 Textual Formulas 00:17:00 Logical Formulas 00:11:00 Date-Time Formulas 00:07:00 Lookup Formulas ( V Lookup, Hlookup, Index-Match ) 00:08:00 Data Tools 00:19:00 Formatting data and tables 00:18:00 Pivot Tables 00:08:00 Advance Excel- Solver, Data tables 00:15:00 Assessment Assessment - Retail Analytics In Microsoft Excel 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