Distance learning Course in Economics and Administration in Greater London in United Kingdom

Search Distance learning Course Studies in Economics and Administration in Greater London United Kingdom 2017

Economics and Administration

A course refers to a specialized study program. It usually takes place on campus but can be delivered online. Courses are popular for people who want to get specific knowledge in one subject.

Dealing with public universities is far from an optimal option. Private schools provide much better assistance in your distance learning experience. Several online university draws teachers and students at great distances from all over the world. This vastly increases the diversity in a distance learning classroom and produces challenging conversation among those from hugely divergent communities, regions, and distant cultures.

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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Course in Digital Economy Program - Customer Insight

FutureLearn
Online Full time Part time 4 weeks September 2017 United Kingdom London + 1 more

In this course, you will develop an understanding of how customer relationship management breeds business development success and will critically evaluate accepted wisdom on how marketing influences customers. You will also learn how selling has transitioned from being a ‘foot in the door’ to having a ‘finger on the pulse’, using insight-driven approaches to win those all-important sales. [+]

Distance learning Course Studies in Economics and Administration in Greater London in United Kingdom. Course in Digital Economy Program - Customer Insight This course is part of the The Digital Economy program, which will enable you to thrive in the digital economy and earn 15 credits towards an MBA. No matter how sophisticated your marketing is, if it doesn’t result in attracting customers, then your business is set to fail. This free online course applies fresh thinking to how marketing and selling activities combine to create customers who keep coming back. Build a holistic view of your customers Perspectives on the role and behaviour of customers are changing, with marketers drawing on increasingly powerful information systems to build a holistic view of consumers. In this course, you will develop an understanding of how customer relationship management breeds business development success and will critically evaluate accepted wisdom on how marketing influences customers. You will also learn how selling has transitioned from being a ‘foot in the door’ to having a ‘finger on the pulse’, using insight-driven approaches to win those all-important sales. Thrive in the digital economy The Digital Economy: Selling Through Customer Insight is one of four courses from The Open University about the digital economy, designed to help experienced managers get to grips with today’s technology-enabled business environment. The course has been developed by The Open University Business School – a pioneering institution that is triple accredited by AMBA, EQUIS and AACSB. Holders of FutureLearn Certificates of Achievement for all four Digital Economy courses can earn 15 UK credits towards The Open University Business School’s flexible MBA by passing a linked Open University assessment module (requiring separate OU registration and fee). Requirements This course is intended for anyone who wants to learn about attracting and retaining customers. No previous experience of studying sales or marketing is required, but some basic knowledge of how businesses work would be beneficial. Find further information about OU registration, the assessment module and MBA in the entry requirements. The Open University does not operate in Cuba, Iran, North Korea, Sudan and Syria. This means that Learners based in those countries will not be able to convert their participation in this Program to Open University course credits. [-]

Course in Business Fundamentals: Effective Networking

FutureLearn
Online Full time Part time 4 weeks September 2017 United Kingdom London + 1 more

Learn how to build and sustain your network to enhance your professional relationships and open up career opportunities. [+]

Course in Business Fundamentals: Effective Networking This course is part of the Business and Finance Fundamentals and Business Fundamentals programs, which will enable you to master this subject in depth. Networking is a fundamental skill, which will help you take control of your career. This free online course introduces the principles of networking as a fundamental skill to help develop your personal brand in the world of work. Build your network and personal brand online and in the real world You will craft, and receive feedback on, an elevator pitch, a short statement about your role and talents. You will learn how to analyse the value of your connections, whether you are looking for a new job or seeking ways of being more effective in your current position. The course will also cover strategies for self-presentation, keeping in touch with your connections and ensuring that your networking relationships are based on mutual benefit and trust. As well as honing your interpersonal skills in essential areas such as giving and seeking information, the course will cover the fundamentals of creating and managing your digital presence for networking on social media platforms such as LinkedIn and Facebook. Develop fundamental business and finance skills This course has been developed by The Open University Business School – a pioneering institution that is triple accredited by AMBA, EQUIS and AACSB. It is one of eight from The Open University, designed to help you gain fundamental business and financial skills, including communication, networking, relationship building, project management, personal financial planning and management, investment and financial services. You can complete this course as part of one of these two programs: Business Fundamentals: four courses, which will boost your employability and effectiveness at work, and enable you to earn a FutureLearn Award. Business and Finance Fundamentals: eight courses; holders of FutureLearn Certificates of Achievement for all eight courses can earn 30 UK credits towards The Open University Business School’s BA in Business Management by passing a linked Open University assessment module (requiring separate OU registration and fee). Requirements This course is intended for anyone looking to enhance and develop their professional network in order to open up opportunities and strengthen their professional relationships. The course does not require any previous experience of studying networking. For further information about registration, the final assessment course, your eligibility and the BA in Business Management, visit the Open University website. The Open University does not operate in Cuba, Iran, North Korea, Sudan and Syria. This means that Learners based in those countries will not be able to convert their participation in this Program to Open University course credits. [-]

Course in Big Data: Statistical Inference and Machine Learning

FutureLearn
Online Full time Part time 2 weeks September 2017 United Kingdom London + 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. [+]

Distance learning Course Studies in Economics and Administration in Greater London in United Kingdom. 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. [-]

Course in Renewable Energy Management and Finance

European Energy Centre (EEC)
Campus or Online Full time Part time 2 days November 2017 United Kingdom London + 1 more

Understanding policies and finances - fast track to a renewable energy consultancy job. [+]

Two-day course This course is also available as distance learning with live tutorial WHO IS IT FOR: Individuals considering a consultancy job and/or those who have to evaluate the benefits of adopting renewable energy technology. Managers and directors intending to invest in the renewable energy sector. LOCATION: University of London WHEN: 19th - 20th November 2015, University of London OR Start the course today: Distance Learning with live tutorial and online remote exam. COURSE CONTENT: Course Introduction Introduction to Renewable Energy Finance Feed-In Tariff Project Finance calculations 1 Basic technical calculations – energy, economics, emissions EIA and LCA reports Project Finance calculations 2 Government policy and support schemes – UN, EU, UK Project Finance examples Practical international case studies Certificate of Participation provided. EARLY BIRD FUNDED PRICE: £642 £395 (£474 incl. VAT) Course + Certificate of Participation + Exam for Galileo Master Certificate (a saving of £168) [-]