Part time Course in Statistics in United Kingdom

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Courses are academic classes taught by qualified instructors that are intended to enhance participant’s knowledge of a given area or training in a particular discipline. Courses vary broadly in terms of length, size, content and duration.

UK, United Kingdom is more than 300 years old and comprises four constituent nations: England, Scotland, Wales, and Northern Ireland. The UK has been a centre of learning for the past 1,000 years and possesses many ancient and distinguished universities. Foreign students make up a significant proportion of the student body at UK universities.

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Mastering Mathematical Finance Online Courses - Stochastic Calculus for Finance

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

The authors study the Wiener process and Itô integrals in some detail, with a focus on results needed for the Black–Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Itô formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. [+]

Best Part time Course Studies in Statistics in United Kingdom. The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books. Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework. Who are the courses aimed at? The courses are designed to meet the continuing professional development and training needs of: Finance or IT professionals working in quantitative finance and risk management Individuals seeking a career change, managers who need to keep abreast with progress in these fields Prospective students who would like to prepare for entry to relevant postgraduate degree programmes Pre-sessional course (Pre-sessional course "Mathematics for Quantitative Finance" - This course is suitable for candidates who need to consilidate their mathematics background before embarking on some or all of the 8 courses. Cost - £1500) Method of Delivery List of Courses Each online course to be based on a book from the MMF series, with an additional set of exercises, and involves 10 rounds of activities culminating in 10 one-to-one online sessions. Each course takes aproximately 4 - 8 months to complete. Each of the 10 rounds consists of: self-study based on the book, problem solving: solutions submitted and marked electronically, model solutions to the problems attempted, written feedback on the work submitted, one-hour one-to-one online session via Skype with screen sharing, conducted by one of the authors of the MMF series, tailor-made for individual requirements, a combination of lectures and tutorials. Additionally, each module to provide: an online discussion forum, email support, final test. Induction meeting via Skype to cover technical matters before the start of the first module (including help in using the software needed for online delivery). Each student will need a decent internet connection (broadband standard), a Windows or Mac computer and a Skype account. There is some additional free software to install such as the LyX mathematical editor. Additional pre-sessional course available for delegates who need to revise or acquire relevant mathematical background. About the Stochastic Calculus for Finance This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Itô integrals in some detail, with a focus on results needed for the Black–Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Itô formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Itô calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online. Written specifically at the Master's level by experienced lecturers, so readers can dive in directly Gives students confidence in Itô calculus Solutions to exercises are available online [-]

Mastering Mathematical Finance Online Courses - Probability for Finance

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. [+]

The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books. Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework. Who are the courses aimed at? The courses are designed to meet the continuing professional development and training needs of: Finance or IT professionals working in quantitative finance and risk management Individuals seeking a career change, managers who need to keep abreast with progress in these fields Prospective students who would like to prepare for entry to relevant postgraduate degree programmes Pre-sessional course (Pre-sessional course "Mathematics for Quantitative Finance" - This course is suitable for candidates who need to consilidate their mathematics background before embarking on some or all of the 8 courses. Cost - £1500) Method of Delivery List of Courses Each online course to be based on a book from the MMF series, with an additional set of exercises, and involves 10 rounds of activities culminating in 10 one-to-one online sessions. Each course takes aproximately 4 - 8 months to complete. Each of the 10 rounds consists of: self-study based on the book, problem solving: solutions submitted and marked electronically, model solutions to the problems attempted, written feedback on the work submitted, one-hour one-to-one online session via Skype with screen sharing, conducted by one of the authors of the MMF series, tailor-made for individual requirements, a combination of lectures and tutorials. Additionally, each module to provide: an online discussion forum, email support, final test. Induction meeting via Skype to cover technical matters before the start of the first module (including help in using the software needed for online delivery). Each student will need a decent internet connection (broadband standard), a Windows or Mac computer and a Skype account. There is some additional free software to install such as the LyX mathematical editor. Additional pre-sessional course available for delegates who need to revise or acquire relevant mathematical background. About the Probability for Finance Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. Consequently it provides essential prerequisites to graduate-level study of modern finance and, more generally, to the study of stochastic processes. Results are proved carefully and the key concepts are motivated by concrete examples drawn from financial market models. Students can test their understanding through the large number of exercises and worked examples that are integral to the text. Real-world examples motivate and illustrate the mathematics Exercises range in difficulty to challenge even the most advanced student Solutions to exercises are available online [-]

Mastering Mathematical Finance Online Courses - Stochastic Interest Rates

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

Stochastic Interest Rates covers practical topics such as calibration, numerical implementation and model limitations in detail. The authors provide numerous exercises and carefully chosen examples to help students acquire the necessary skills to deal with interest rate modelling in a real-world setting. [+]

Best Part time Course Studies in Statistics in United Kingdom. The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books. Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework. Who are the courses aimed at? The courses are designed to meet the continuing professional development and training needs of: Finance or IT professionals working in quantitative finance and risk management Individuals seeking a career change, managers who need to keep abreast with progress in these fields Prospective students who would like to prepare for entry to relevant postgraduate degree programmes Pre-sessional course (Pre-sessional course "Mathematics for Quantitative Finance" - This course is suitable for candidates who need to consilidate their mathematics background before embarking on some or all of the 8 courses. Cost - £1500) Method of Delivery List of Courses Each online course to be based on a book from the MMF series, with an additional set of exercises, and involves 10 rounds of activities culminating in 10 one-to-one online sessions. Each course takes aproximately 4 - 8 months to complete. Each of the 10 rounds consists of: self-study based on the book, problem solving: solutions submitted and marked electronically, model solutions to the problems attempted, written feedback on the work submitted, one-hour one-to-one online session via Skype with screen sharing, conducted by one of the authors of the MMF series, tailor-made for individual requirements, a combination of lectures and tutorials. Additionally, each module to provide: an online discussion forum, email support, final test. Induction meeting via Skype to cover technical matters before the start of the first module (including help in using the software needed for online delivery). Each student will need a decent internet connection (broadband standard), a Windows or Mac computer and a Skype account. There is some additional free software to install such as the LyX mathematical editor. Additional pre-sessional course available for delegates who need to revise or acquire relevant mathematical background. About the Stochastic Interest Rates This volume in the Mastering Mathematical Finance series strikes just the right balance between mathematical rigour and practical application. Existing books on the challenging subject of stochastic interest rate models are often too advanced for Master's students or fail to include practical examples. Stochastic Interest Rates covers practical topics such as calibration, numerical implementation and model limitations in detail. The authors provide numerous exercises and carefully chosen examples to help students acquire the necessary skills to deal with interest rate modelling in a real-world setting. Well-motivated examples and exercises make material accessible to Master's students, advanced undergraduates and entry-level finance professionals Coverage of practical topics prepares students for work in the field of stochastic interest rate derivatives Modular structure of the series helps students rapidly develop specific skills [-]

Course in Big Data: Statistical Inference and Machine Learning

FutureLearn
Online Part time 2 weeks September 2017 United Kingdom London

This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. [+]

Course in Big Data: Statistical Inference and Machine Learning Everyone has heard of big data. Many people have big data. But only some people know what to do with big data when they have it. So what’s the problem? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means that we need new technological or methodological solutions for analysing data. There is a great demand for people with the skills and know-how to do big data analytics. Extract information from large datasets This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. Of course, we can’t teach everything in one course, so we have focused on giving an overview of a selection of common methods. You will become familiar with predictive analysis, dimension reduction, machine learning and clustering techniques. You will also discover how simple decision trees can help us make informed decisions and you can dive into statistical learning theory. Explore real-world big data problems These methods will be described through case studies that explain how each is applied to solve real-world problems. You can also develop your coding skills by applying the techniques you’ve just learnt to complete hands-on tasks and obtain results. Just as there are many statistical and machine learning methods for big data analytics, there are also many software packages (see ‘Requirements’ below) that can be used for this purpose. In this course, we will expose you to three such packages, so that you can start to become familiar with using different tools, and can gain confidence in going further with these packages or using others that may come your way. Continue learning with the Big Data Analytics program This course is one of four in the Big Data Analytics program on FutureLearn from the ARC Centre of Excellence for Mathematical and Statistical Frontiers at Queensland University of Technology (QUT). The program enables you to understand how big data is collected and managed, before exploring statistical inference, machine learning, mathematical modelling and data visualisation. When you complete all four courses and buy a Certificate of Achievement for each, you will earn a FutureLearn Award as proof of completing the program of study. Acknowledgements QUT would like to thank the following content contributors: Tomasz Bednarz Amy Cook Miles McBain Kerrie Mengersen Sam Rathmanner Nan Ye Requirements You will enjoy this course most and benefit from the learning experience if you have a basic understanding of statistics and mathematics at an undergraduate level. In this course you will be using the following free tools. Please review the product websites below to ensure your system meets the minimum requirements: R and R Studio Desktop (open source edition) You will complete practical exercises using R Studio, so you’ll need to be familiar enough with R to: install a package import data read and run starter code develop a solution or read through a solution and gain understanding from it. NOTE: You must first have a working installation of R to use R Studio. H2O Flow H2O Flow can be used as a stand-alone package for big data analytics or can be used in conjunction with R. This package will allow you to tackle larger problems that you might encounter in your own work. WEKA WEKA is a popular workbench for machine learning and statistical analysis. It comprises a very wide range of tools that are suitable for big data analysis. Knowing R, H2O Flow and WEKA will give you a powerful, flexible and scalable set of tools to manipulate and analyse big data. [-]

IASSC Lean Six Sigma Yellow Belt Training & Certificate

E-Careers
Online Part time 12 months August 2017 United Kingdom UK Online

Become certified in the world’s most recognised quality and process management methodology with an official licensed affiliate. [+]

Best Part time Course Studies in Statistics in United Kingdom. What are the objectives of this course? Lean Six Sigma is a modern managerial concept and is the combination of two separate methodologies; Lean and Six Sigma. Lean is a methodology designed to improve business by preserving quality and value but with less work and Six Sigma is a system designed to improve the quality of process outputs by identifying and removing the causes of errors using statistical methods. The Define phase defines how projects are chosen, elements of waste are then identified and action items are defined. The Measure phase is used to catalogue and analyse existing processes to define an operational baseline that can be used to calculate potential capability of each. The Control phase then helps to monitor each change that is made and record any deviations from the predicted benefits, then how to action on the results. Who is it intended for? The Lean Six Sigma Yellow Belt is for anyone who wants to understand basic Lean Six Sigma concepts and function as an important member of any project, process or quality management team. Requirements There are no prerequisites to take the course. In order to sit the examination we strongly recommend that the course be taken as the training is essential. What marks this course apart? The Lean Six Sigma Yellow Belt is an ideal place to start if you want to whet your appetite in process improvement strategies, you can then use this foundation to go onto further studying goals to suit your career development. Usually certified Yellow Belts will have job roles such as business process analyst and process improvement co-ordinator, averaging a salary of £29,000. Source: www.payscale.com What happens after requesting information? Once you have enquired you will be contacted by one of our specialist careers advisors who will be able to provide you with any further information you require. [-]

IASSC Accredited Lean Six Sigma Yellow Belt Training

E-Careers
Online Part time 12 months Open Enrollment United Kingdom UK Online

Learn the fundamental knowledge behind the world’s foremost quality and process management methodology with a licensed affiliate. [+]

What are the objectives of this course? Lean Six Sigma is a modern managerial concept and is the combination of two separate methodologies; Lean and Six Sigma. Lean is a methodology designed to improve business by preserving quality and value, but with less work and Six Sigma is a system designed to improve the quality of process outputs by identifying and removing the causes of errors using statistical methods. The Define phase defines how projects are chosen, elements of waste are then identified and action items are defined. The Measure phase is used to catalogue and analyse existing processes to define an operational baseline that can be used to calculate potential capability of each. The Control phase then helps to monitor each change that is made and record any deviations from the predicted benefits, then how to action on the results. Who is it intended for? The Lean Six Sigma Yellow Belt is for anyone who wants to understand basic Lean Six Sigma concepts and function as an important member of any project, process or quality management team. Requirements There are no prerequisites to take this course. What marks this course apart? The Lean Six Sigma Yellow Belt is an ideal place to start if you want to whet your appetite in process improvement strategies, you can then use this foundation to go onto further studying goals to suit your career development. Usually certified Yellow Belts will have job roles such as business process analyst and process improvement co-ordinator, averaging a salary of £29,000. Source: www.payscale.com What happens after requesting information? Once you have enquired you will be contacted by one of our specialist careers advisors who will be able to provide you with any further information you require. [-]