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Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Business Process Management: Business Process Management Course Online Unlock the Power of Business Process Management: Business Process Management Course: Enrol Now! Are you a working professional with a focus on business processes or management who aspires to take the lead in various methods for discovering, modelling, analysing, measuring, improving, optimising, and automating business processes? Then our Business Process Management: Business Process Management Course is just what you need! Through this Business Process Management: Business Process Management Course you will gain a thorough understanding of the evolution of enterprise systems architectures, Business Process Management: Business Process Management Course and an introduction to the business process life cycle. You will also learn the steps of business process mapping with flow charts and diagrams, establishing business functions, identifying function leaders and adequately planning the modelling, monitoring and optimising phase. Main Course: Business Process Management course Free Courses included with Business Process Management: Business Process Management Course: Course 01: Level 5 Diploma in Business Analysis Course 02: Level 7 Diploma in Operations Management Course 03: Level 7 Life Coaching [ Note: Free PDF certificate as soon as completing Business Process Management: Business Process Management Course] Business Process Management: Business Process Management Course Online This Business Process Management: Business Process Management Course consists of 08 modules. Course Curriculum of Business Process Management: Business Process Management Course Module 01: Introduction to Business Process Management Module 02: Evolution of Enterprise Systems Architectures Module 03: Business Process Modelling Foundation Module 04: Process Orchestrations Module 05: Process Choreographies Module 06: Properties of Business Processes Module 07: Architectures and Methodologies Module 08: Business Process Management Methodology Assessment Method of Business Process Management: Business Process Management Course After completing Business Process Management: Business Process Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Who is this course for? Business Process Management: Business Process Management Course Online This Business Process Management: Business Process Management Course is designed for anyone who wants to enhance their business process management skills. Requirements Business Process Management: Business Process Management Course Online To enrol in this Business Process Management: Business Process Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Process Management: Business Process Management Course. Be energetic and self-motivated to complete our Business Process Management: Business Process Management Course. Basic computer Skill is required to complete our Business Process Management course. If you want to enrol in our Business Process Management course, you must be at least 15 years old. Career path Business Process Management: Business Process Management Course Online After completing this Business Process Management: Business Process Management Course, you may able to pursue a variety of promising career opportunities, such as: Business Process Manager Business Analyst Entrepreneur Business Owner

Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

Master Food Safety and Hygiene with our Level 3 Supervising Food Safety in Catering Training for Catering Professionals. Achieve a 5-Star Rating and Excel in the Hospitality Industry! Embark on a journey to become a culinary hero by mastering food safety and hygiene practices with our comprehensive Level 3 Supervising Food Safety in Catering Course. Designed for catering professionals in the hospitality sector, this CPD accredited training will empower you to achieve a five-star food hygiene rating and elevate your career. Why Choose Our Level 3 Supervising Food Safety in Catering Course?  Our Level 3 Supervising Food Safety in Catering training course is tailored for senior-level professionals in the catering and hospitality industry. By enrolling in this course, you will gain: In-depth knowledge of food safety management systems, including supervising food safety, training staff effectively, and implementing best practices to minimize food hazards. A solid understanding of the importance of exceptional personal hygiene standards and UK HACCP Food Safety Standards. A competitive edge in the catering and hospitality industry, with a recognized qualification and the expertise to maintain high food safety standards in the workplace. Key Features CPD International Quality Accredited Meets UK & EU legal requirements Discounts on bulk purchases 24/7 Live Support Use any internet-connected device Learn anytime from anywhere Developed by Industry Experts Instant e-certificate and eligibility of ordering hardcopy Description  Level 3 Supervising Food Safety in Catering  Course Curriculum Module 1: Introduction to Food Hygiene Explore the foundations of food hygiene and safety, understanding its significance in the catering and hospitality sector. Module 2: Origin and Nature of Food Risk Uncover the sources of food risks and learn how to identify and mitigate potential hazards in a professional setting.  Module 3: Technologies and Food Safety Delve into the role of technology in maintaining food safety, and discover how to harness modern innovations to ensure high standards.  Module 4: Preservation of Fruits and Vegetables Master the techniques for preserving fruits and vegetables, ensuring optimal quality and safety in your culinary creations.  Module 5: Establishing Food Safety Management System (FSMS) in a Company Learn how to create and implement an effective FSMS, ensuring your workplace remains compliant with the Food Safety Act 1990.  Module 6: Hazard Analysis and Critical Control Point System (HACCP) Develop your understanding of HACCP principles and their application in catering and hospitality environments.  Module 7: Management of Chemical Contaminants Gain knowledge about managing chemical contaminants in food products, ensuring the safety and wellbeing of your customers.  Module 8: Sustainability and Food Production Explore the principles of sustainable food production and learn how to incorporate these practices into your catering business.  Accreditation of Level 3 Supervising Food Safety in Catering This Level 3 Supervising Food Safety in Catering Course is CPD IQ Accredited, ensuring a high-quality course content that is recognised and approved in the UK.  Certification Upon completion of Level 3 Supervising Food Safety in Catering course, you will receive a free PDF certificate to showcase your achievement. Who is this course for?  Our Level 3 Supervising Food Safety in Catering Course is perfect for anyone operating in the food, catering, and hospitality industries, including: Chefs Food Critics Restaurant and café owners Food safety officers Catering managers Kitchen managers Food handlers Career path Potential career paths include roles such as souse chef, food safety officer, catering manager, and food and beverage manager, with average salaries ranging from £20,000 to £25,000 per annum. Invest in your future and enroll in our Level 3 Supervising Food Safety in Catering Course today to unlock your full potential in the catering and hospitality industry.

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 from Reed CIQ Approved 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 The World of Actuaries 2:31:13 1: Module 1: Introduction to Actuary 12:29 2: Module 2: Actuaries and Their Environment 14:21 3: Module 3: The Valuation of Cash Flows 11:39 4: Module 4: The Basic Deterministic Model 10:50 5: Module 5: The Life Table 10:37 6: Module 6: Life Annuities 13:35 7: Module 7: Life Insurance 12:16 8: Module 8: The Stochastic Life Contingencies Model 10:46 9: Module 9: The Stochastic Approach to Insurance and Annuities 10:47 10: Module 10: Taxation and Inflation 07:58 11: Module 11: Probabilistic Models, Uncertain Payment and Profit Testing 07:58 12: Module 12: Individual Risk Models 07:11 13: Module 13: Principles of Premium Calculation 10:22 14: Module 14: Multiple Decrement Theory 09:24 15: CPD Certificate - Free 01:00 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 Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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 from Reed CIQ Approved 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 The World of Actuaries 2:31:13 1: Module 1: Introduction to Actuary 12:29 2: Module 2: Actuaries and Their Environment 14:21 3: Module 3: The Valuation of Cash Flows 11:39 4: Module 4: The Basic Deterministic Model 10:50 5: Module 5: The Life Table 10:37 6: Module 6: Life Annuities 13:35 7: Module 7: Life Insurance 12:16 8: Module 8: The Stochastic Life Contingencies Model 10:46 9: Module 9: The Stochastic Approach to Insurance and Annuities 10:47 10: Module 10: Taxation and Inflation 07:58 11: Module 11: Probabilistic Models, Uncertain Payment and Profit Testing 07:58 12: Module 12: Individual Risk Models 07:11 13: Module 13: Principles of Premium Calculation 10:22 14: Module 14: Multiple Decrement Theory 09:24 15: CPD Certificate - Free 01:00 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 Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Business Process Management: Business Process Management Course Online Unlock the Power of Business Process Management: Business Process Management Course: Enrol Now! Are you a working professional with a focus on business processes or management who aspires to take the lead in various methods for discovering, modelling, analyzing, measuring, improving, optimising, and automating business processes? Then our Business Process Management: Business Process Management Course is just what you need! Through this Business Process Management: Business Process Management Course you will gain a thorough understanding of the evolution of enterprise systems architectures, Business Process Management: Business Process Management Course and an introduction to the business process life cycle. You will also learn the steps of business process mapping with flow charts and diagrams, establishing business functions, identifying function leaders and adequately planning the modelling, monitoring and optimising phase. Main Course: Business Process Management course Free Courses included with Business Process Management: Business Process Management Course: Along with Business Process Management Course you will get free Level 5 Diploma in Business Analysis Along with Business Process Management Course you will get free Level 7 Diploma in Operations Management Special Offers of this Business Process Management: Business Process Management Course; This Business Process Management: Business Process Management Course includes a FREE PDF Certificate. Lifetime access to this Business Process Management: Business Process Management Course Instant access to this Business Process Management: Business Process Management Course 24/7 Support Available to this Business Process Management: Business Process Management Course Business Process Management: Business Process Management Course Online This Business Process Management: Business Process Management Course will provide a comprehensive understanding of Business Process Management, introducing key concepts, strategies, and in-depth information. It offers real-world knowledge and expertise from industry professionals and practitioners. Who is this course for? Business Process Management: Business Process Management Course Online This Business Process Management: Business Process Management Course is designed for anyone who wants to enhance their business process management skills. Requirements Business Process Management: Business Process Management Course Online To enrol in this Business Process Management: Business Process Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Process Management: Business Process Management Course. Be energetic and self-motivated to complete our Business Process Management: Business Process Management Course. Basic computer Skill is required to complete our Business Process Management course. If you want to enrol in our Business Process Management course, you must be at least 15 years old. Career path Business Process Management: Business Process Management Course Online After completing this Business Process Management: Business Process Management Course, you may able to pursue a variety of promising career opportunities, such as: Business Process Manager Business Analyst Entrepreneur Business Owner

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