Distance learning Course in IT in Greater London in United Kingdom

Find Distance learning Course Studies in IT in Greater London United Kingdom 2017

IT

If you’re looking to continue your personal development with a multitude of study options either online or in a classroom, law courses are for you. Specific study topics typically include intellectual property, commercial law and regulatory theory.

Information technology is a growing field since the integration of computers in the work place. With a master’s in information technology you will be able to make, trouble shoot and fix software systems.

Distance learning is a method of delivering education to students who are not physically present on campus. Various studies have shown that distance learning programmes can be as efficient and effective as conventional classroom programmes sometimes even better!

The United Kingdom of Great Britain and Northern Ireland, commonly known as the United Kingdom and Britain, is a sovereign state located off the north-western coast of continental Europe.The two most famous (and oldest) universities are Oxford and Cambridge (often referred to as Oxbridge by many Britons) England also has several other world-class institutions, including several in London (notably Imperial College, the London School of Economics, University College London and King's College London, all are part of London University)

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Course in Learn to Code for Data Analysis

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

This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly. [+]

Distance learning Course Studies in IT in Greater London in United Kingdom. Course in Learn to Code for Data Analysis This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly. You will install free software (see Requirements below) to learn to code in Python, a widely used programming language across all disciplines, due to its support for scientific and engineering libraries and visualisation tools, and wide range of development tools. You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily. You will look at real data from the World Health Organisation, the World Bank and other organisations. You’ll be encouraged to discuss the data and your analyses with your fellow learners, and to build a community of researchers around these and other datasets. Requirements The course does not assume prior experience in programming or data analysis. Basic familiarity with a spreadsheet application will be an advantage. The course does not require any knowledge of statistics, but you need to have basic numeracy skills, like writing arithmetic expressions, using percentages and understanding scientific notation. If you wish to brush up on your numeracy skills, we recommend the FutureLearn course Basic Science: Understanding Numbers from The Open University. To study this course you will use specialist software. You can use the software online, via a free account on a website, or offline, by downloading and installing a free software package. You will receive instructions about both options via email before the course starts. The online solution requires a good internet connection and has some limitations. The offline software has no limitations and is the recommended option. However, you will need access to a desktop or laptop computer on which you can install software. The software is free and there are versions available for Windows, Mac and Linux platforms. You will need about 3 GB of free disk space to download and install the software, and to store datasets that will be provided in the course. Whether you choose the online or offline software option, you will need to be proficient in basic computer tasks, like creating folders, downloading files and copying them to specific folders, etc. In terms of accessibility, you will be asked to use your web browser and to type code. [-]

Course in Introduction to Cyber Security

FutureLearn
Online Full time Part time 8 weeks October 2017 United Kingdom London + 1 more

Our lives depend on online services. Gain essential cyber security knowledge and skills, to help protect your digital life. [+]

Course in Introduction to Cyber Security We shop online. We work online. We play online. We live online. As our lives increasingly depend on digital services, the need to protect our information from being maliciously disrupted or misused is really important. This free online course will help you to understand online security and start to protect your digital life, whether at home or work. You will learn how to recognise the threats that could harm you online and the steps you can take to reduce the chances that they will happen to you. With cyber security often in the news today, the course will also frame your online safety in the context of the wider world, introducing you to different types of malware, including viruses and trojans, as well as concepts such as network security, cryptography, identity theft and risk management. Your guide for the course is Cory Doctorow, a visiting professor at The Open University. "If you want an introduction to the subject that provides an overview or to improve your own personal information security, it is an excellent course - enjoyable, informative, engaging and authoritative.” - Tony Morbin, Editor-in-Chief, SC Magazine Double accredited course This GCHQ Certified Training course is also accredited by the Institute of Information Security Professionals (IISP). It has been developed by The Open University with support from the UK Government’s National Cyber Security Programme and can be accessed free of charge. Requirements The course does not assume any prior knowledge of computer security and can be enjoyed by anyone interested in improving the security of their digital information. [-]

Course in Big Data: Mathematical Modelling

FutureLearn
Online Full time Part time 2 weeks October 2017 United Kingdom London + 1 more

Learn how to apply selected mathematical modelling methods to analyse big data in this free online course. [+]

Distance learning Course Studies in IT in Greater London in United Kingdom. Course in Big Data: Mathematical Modelling This course is part of the Big Data Analytics program, which will enable you to gain the big data analytics skills that are in demand today. Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how. Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets. Learn how maths underpins big data analysis We will begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools. We will then proceed to introduce three such tools, based on a linear algebra framework. These tools and the problems that they address are: eigenvalues and eigenvectors for ranking graph Laplacian for clustering singular value decomposition for data compression. Develop your analysis skills with prototypical case studies In this course, we have chosen a number of prototypical problems in data analytics to demonstrate the main concepts. These algorithms can be extended to facilitate their use in big data problems. Our hands-on approach will allow you to develop your analytic skills using self-contained datasets, deepen your understanding of the underlying mathematical methods, and explore how these methods can be applied to big data in your area. 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: Kevin Burrage Giuseppe De Martino Steve Psaltis Ian Turner Requirements This course is designed for anyone looking to add mathematical methods for data analytics to their skill set. To get the most out of this course, we recommend that you have studied linear algebra at a university/college level. We would encourage you to refresh your knowledge of vector and matrix algebra before engaging with the course material. We will assume basic MATLAB (or other) programming skills for some of the practical exercises. MathWorks will provide you with free access to MATLAB Online for the duration of the course so you can complete the programming exercises. Visit the MATLAB Online website to ensure your system meets the minimum requirements. [-]

Course in Cyber Security: Safety at Home, Online, in Life

FutureLearn
Online Full time Part time 3 weeks September 2017 United Kingdom London + 1 more

The course will introduce you to some of the current key topics in cyber security research and show how they relate to everyday life. We’ll look at how the move to online storage of personal data affects privacy, how online payments can be made safely, and how the proliferation of “smart” devices affect security. [+]

Course in Cyber Security: Safety at Home, Online, in Life In the modern world, information security has an influence on all of us: at home, at work, online and in life in general. Like many inventions that have gone before, the internet and the web, the cloud and the Internet of Things (IoT) bring with them many advantages, but also open up new possibilities for criminal activity. So should you avoid all contact with this brave new world? This free online course presents an alternative, providing you with the knowledge to make informed decisions. Understand key topics in cyber security The course will introduce you to some of the current key topics in cyber security research and show how they relate to everyday life. We’ll look at how the move to online storage of personal data affects privacy, how online payments can be made safely, and how the proliferation of “smart” devices affect security. Over the three weeks of the course we will look at these topics from different perspectives: the user’s, a potential attacker’s and a business’s. We’ll also discuss how research underway at Newcastle University addresses these topics. Privacy online: What is privacy? We begin by looking into our own beliefs and practices when it comes to giving out our data online. What is the value of our personal data to businesses? And how can you find out what information about you is readily available online? Payment safety: We make payments everyday, we purchase items at the store and we purchase items online, but how secure are these payments? How safe is our money? All of the different methods of payment cash, credit/debit card, cheque and bitcoin are a trade-off between security and convenience. We will look at constantly evolving race between the payment fraud and the security measures employed to prevent fraud. Security at home: With increasing numbers of autonomous, internet-enabled devices in our homes and cars, on our wrists and in our clothes, how could they be misused? And what can we do about understanding and responding to the risks and threats? Learn from cyber security researchers and practitioners The course is presented by researchers and practitioners from Newcastle University’s School of Computing Science, an acknowledged Academic Centre of Excellence in Cyber Security Research (ACE-CSR). The team conduct research in areas such as cryptography and information assurance with a focus on understanding the human element of cyber security - victims, investigators and attackers. Each topic is led by a research expert in that field. Requirements The course is suitable for people who have some knowledge of cyber security, some IT background and an interest in finding out the state of practice in cyber security as well as future research directions. [-]

A+ certification

SuperSkilz
Online Full time Part time Open Enrollment United Kingdom London

Our Online IT Training now offers the “CompTIA A+ Pro Pack” as an exceptional supplement to your IT training course or bundle. The Pro Pack is designed to further assist students in their trial and error learning and self study. [+]

Distance learning Course Studies in IT in Greater London in United Kingdom. Our Online IT Training now offers the “CompTIA A+ Pro Pack” as an exceptional supplement to your IT training course or bundle. The Pro Pack is designed to further assist students in their trial and error learning and self study. The Pro Pack comes with live lab learning in sandbox environments and access to over 250 e-books. When trying to learn new IT course material, physically doing the tasks yourself is often the best way to learn. We offer you a live testing environment where you can log-in and practice skills you learn in your IT training courses. You can build, break, and fix anything. This is a helpful feature to have at your fingertips while in the field for testing purposes. You can practice skills through trial and error and then apply what you have learned to your live company environment. We offer you the most effective way to earn your CompTIA A+ certification. CompTIA A+ teaches students the competence in areas such as installation, preventative maintenance, networking, security, troubleshooting, customer service and communication skills to work with clients. After completing this course, students will know hardware, laptops, motherboards, processors, memory, CPU, troubleshooting theory, preventative maintenance techniques, Windows XP, Windows Vista, Windows 7, Windows 8, mobile operating systems Android and Apple iOS, cables, connectors, network types, security concepts, security technologies, viruses, malware, communication and professionalism. CompTIA A+ 220-801 covers the fundamentals of computer technology, installation and configuration of PCs, laptops and related hardware, and basic networking. CompTIA A+ 220-802 covers the skills required to install and configure PC operating systems, as well as configuring common features (e.g. network connectivity and email) for mobile operating systems Android and Apple iOS. [-]