Online Course in Statistics in United Kingdom

Search Online Courses in Statistics in United Kingdom 2017

Statistics

One of the best ways to further career goals is investing in higher education. By taking courses in their field, students demonstrate commitment to their careers. Individual classes can provide valuable skills and advanced training.

Education in the United Kingdom is a devolved matter with each of the countries of the United Kingdom having separate systems under different governments: the UK Government is responsible for England, and the Scottish Government, the Welsh Government and the Northern Ireland Executive are responsible for Scotland, Wales and Northern Ireland, respectively.

Online Course in Statistics in United Kingdom

Read More

Maths GCSE Course

Distance Learning Centre
Online Part time 200 hours Open Enrollment United Kingdom UK Online

GCSE Mathematics is a key requirement for many job roles as it demonstrates an understanding of numbers and an ability to work with them. This distance learning course is designed to help students progress through to their exams and it places great emphasis on "doing mathematics" and relating this wherever possible, to everyday life. [+]

Online Courses in Statistics in United Kingdom. GCSE Mathematics is a key requirement for many job roles as it demonstrates an understanding of numbers and an ability to work with them. This distance learning course is designed to help students progress through to their exams and it places great emphasis on "doing mathematics" and relating this wherever possible, to everyday life. Certain techniques and formulae need to be learnt, but the emphasis on "doing" means that you should work carefully through all the examples and exercises in order to be able to solve problems effectively. The Maths GCSE distance learning course gently guides the student through basic mathematical skills, progressing onto more advanced material as the student's skills and abilities develop. A reasonable level of proficiency in arithmetical skills is assumed. Each lesson of this course begins with a set of clearly stated objectives and an explanation of its place in the overall programme of study. Effective learning is encouraged through frequent activities and self-assessment questions. There are thirteen tutor-marked assignments and a practice exam paper. The course consists of the following Units: Foundation Level: Unit 1 – Numbers Unit 2 – Money Unit 3 – Measurement Unit 4 – Basic Algebra Unit 5 – Basic Trigonometry and Vectors Unit 6 – Basic Geometry Unit 7 – Further Geometry Unit 8 – Probability and Statistics Additional units to be studied by students aiming for the higher tier: Unit 9 – Further Numbers and Equations Unit 10 – Higher Algebra Topics... [-]

IASSC Lean Six Sigma Yellow Belt Training & Certificate

E-Careers
Online Part time 12 months August 2017 United Kingdom UK Online Langley Marish + 1 more

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

IASSC Accredited Lean Six Sigma Yellow Belt Training

E-Careers
Online Part time 12 months Open Enrollment United Kingdom UK Online Langley Marish + 1 more

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

Online Courses 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 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... [-]

A Level Statistical Mathematics Course

UK Open College
Online Part time 700 hours Open Enrollment United Kingdom UK Online

This distance learning A level Maths course builds on work covered in GCSE Maths at Higher Level, so you need to be familiar with all the mathematics at this level, and your skills should be at least up to GCSE Grade B standard. [+]

This distance learning A level Maths course builds on work covered in GCSE Maths at Higher Level, so you need to be familiar with all the mathematics at this level, and your skills should be at least up to GCSE Grade B standard. If you have not studied maths for some time, it would be advisable to brush up your skills by revising some of the Higher Level GCSE topics. One way to do this is on the BBC website "GCSE Bitesize" which provides an interactive revision programme. This course is designed for students working at home. The topics are presented in small "chunks" with worked examples followed by activities for the student. Revision tests are provided after every three or four sections, and there is a Test Paper at the end of each module, which is a mock exam, so you should revise the content of the module before you do the Test Paper. You will need a graphics calculator, but you will also need to be skilled in manipulating numbers without using a calculator. In particular, no calculator is allowed in the exam for the first module, and the work in this module is built around working out answers without a calculator. Qualification: A Level Mathematics (Statistics) Accredited: Yes QCF Recognised: Yes Awarding Body: AQA Start Date: Anytime - We enrol 365 days a year Duration: Flexible - Approx 700 Hours - 2 years support UCAS Points: Dependant on Grades Syllabus Unit 1: MPC1 Core 1 Co-ordinate Geometry... [-]

Course in Big Data: Statistical Inference and Machine Learning

FutureLearn
Online Full time Part time 2 weeks June 2017 United Kingdom UK Online + 1 more

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. [+]

Online Courses in Statistics in United Kingdom. Why join the course? Many people have big data but only some people know what to do with it. Why? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means we need new solutions for analysing data. This 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. We also expose you to three software packages so you can develop your coding skills by completing practical exercises. What will you achieve? Identify big data application areas Explore big data frameworks Model and analyse data by applying selected techniques Demonstrate an integrated approach to big data Develop an awareness of how to participate effectively in a team working with big data experts Who is the course for? You will enjoy this course most and benefit from the learning experience if you have a basic understanding of statistics and mathematics at a university undergraduate level. What software or tools do you need? 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... [-]

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. [+]

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... [-]

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. [+]

Online Courses 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... [-]

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... [-]