Distance learning Course in Computer Science in United Kingdom

See Distance learning Course Studies in Computer Science in United Kingdom 2017

Computer Science

You can usually take higher education courses if you’re 18 or older. They’re regularly taught in universities, colleges and professional institutions such as art schools or agricultural colleges - nearly all of which have their own websites. You can get a wide range of skills, for example, diplomas, bachelor degrees, foundation degrees and post-graduate degrees.

The Master Degree in Computer Science program prepares students to work with computing problems and solutions. Graduates are highly sought after by employers and can work in a vast array of fields including technology, business and much more.

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 Net that Job: How to Write a CV Online

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

Find out how to write a CV online that will help you stand out and net your dream job, with this free online CV writing course. [+]

Best Distance learning Course Studies in Computer Science in United Kingdom. Course in Net that Job: How to Write a CV Online Writing a CV is a very personal thing – it’s a story about your past that employers will use to decide if you have a future with them. This free online course will guide you through the CV writing process, helping you create a CV online that will help you net your dream job. Find out how to write a CV online By the end of this course, you’ll be able to improve your existing CV, not only by making it more digital and putting your CV online, but also through being more aware of what makes a good CV and what makes a bad one. In Weeks 1 and 2, we’ll be looking at all of the key skills you’ll need to perfect your CV – the idea is that you’ll build up these key skills so that you’ll be able to see a clear improvement in your CV writing. In Week 2, we’ll consider how much technology you want your as part of your CV to be, so that, by the end of the course, you’ll be in a great position to put your CV online and net that job. Get CV writing advice from experts and learners around the world Throughout the course, you’ll get cv writing advice from Willie McGuire, Rille Raaper and Viktoria Nikolova – a team of CV experts from the University of Glasgow. You’ll also be able to connect with a huge numbers of other job hunters around the world, who are all bursting with ideas – ideas that you can use in your own CV writing. Requirements There are no prior requirements for this course. [-]

Course in Functional Programming in Haskell: Supercharge Your Coding

FutureLearn
Online Full time Part time 6 weeks September 2017 United Kingdom London + 1 more

Get an introduction to Haskell, the increasingly popular functional programming language, with this University of Glasgow course. [+]

Course in Functional Programming in Haskell: Supercharge Your Coding Do you want to develop software using the latest programming language paradigm? Haskell is a functional programming language, based on formal mathematical principles. As such, it is easy to reason about and develop, and it executes efficiently on modern multicore machines. From investment banks to social networks, everyone is adopting Haskell. Get an introduction to functional programming in Haskell On this introductory course, you will discover the power, elegance and simplicity of functional programming in Haskell. By the end, you will be able to: characterise the differences between imperative and functional programming paradigms; implement small-scale functional programs in elementary Haskell; apply standard combinators for operating on lists; create new algebraic data types and use recursion to define functions that traverse recursive types; and reason in a mathematical manner about data types, functions, recursion and similar functional constructs. Learn with developers from the birthplace of Haskell This course has been created by the School of Computing Science at the University of Glasgow – the virtual birthplace of the Haskell language, where many of its original developers worked. It will give you the opportunity to learn with these experts and join the growing, global community of Haskell programmers. Requirements This course is intended for learners who already have experience of at least one programming language, such as Python or Java. You might be a computer science student, a software developer who wants to learn a new programming style, or somebody considering university study in computer science or information technology. [-]

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. [+]

Best Distance learning Course Studies in Computer Science 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 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. [+]

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 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. [+]

Best Distance learning Course Studies in Computer Science 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. [-]

Mastering Mathematical Finance Online Courses - Numerical Methods in Finance with C++

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

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. [+]

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 Numerical Methods in Finance with C++ Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance. Written specifically at the Master's level by experienced lecturers, so readers can dive in directly The mathematics is rigorous but also motivated, so readers see how to apply what they learn Online material includes solutions to exercises and C++ code [-]

ITIL® Intermediate Level - Release, Control & Validation (RCV) Training & Exam Package

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

Learn to successfully plan, test and implement new services that meet organisational needs and get certified with this ITIL® Intermediate – Release, Control and Validation training and exam package. [+]

Best Distance learning Course Studies in Computer Science in United Kingdom. What are the objectives of this course? The course will take students through the principles involved in controlling systems and software release, protect IT service offerings as a whole more effectively and validate the outcomes of these types of projects. Using transition planning and support to develop simplify the process of moving to new processes and systems. Using change management techniques and technology to record system/service changes to gauge effectiveness and provide a rollback reference if required. Release and deployment management techniques to assist with incremental system updates. Change evaluation guidelines to help assess the impact (positive or negative) of new system changes. Service Asset and Configuration Management (SACM), providing a centralised repository for capture of system changes. Request fulfilment – delivery the changes demanded by service users and other factors. Service validation and testing routines to verify that frameworks and policies are working as expected. Knowledge management techniques and technology to ensure that valuable lessons are captured and shared with other key stakeholders. Who is it intended for? The course is for people who are looking to take the next step in their ITIL® Service Capability route having already passed their ITIL® Foundation Exam. The course is designed for IT managers in the release, operations or security fields but can also be utilised by security and database administrators. Requirements In order to take the Release, Control and Validation exam, you must have passed the ITIL® Foundation Examination. There are no pre-requisites to take the course but we recommend you have a good knowledge of service management and have taken the ITIL® Foundation course. What marks this course apart? Once the Release, Control and Validation exam has been passed you will be able to function in roles such as security manager, security administrator and release manager. The course counts as four of the necessary 17 credits to move onto Managing Across the Lifecycle course which leads to the title of “ITIL® Expert”. 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. [-]

ITIL® Intermediate Level - Planning, Protection & Optimisation (PPO) Training & Exam Package

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

Specialise on the practical application of PPO practices and get certified with this complete ITIL® Planning, Protection and Optimization training and exam package. [+]

What are the objectives of this course? The ITIL® PPO course takes students through the practical application of PPO practices in order to enable capacity, availability, IT service continuity, information security and demand management while demonstrating how to implement them into a modern IT service. How to plan and provide sufficient capacity to support the changing needs of a business. How to specify and implement high availability systems to maintain service quality at all times. Using IT service continuity principles to maintain quality of service as systems and frameworks transition. How to build frameworks and systems that help support demand management. Building a PPO team and assigning roles and responsibilities. Using technology to support PPO goals and services. Who is it intended for? The course suits students who are IT professionals, have their ITIL® Foundation Qualification and work in areas such as IT operations, network support, network control and operation, security manager and security administrator. Requirements In order to take the Planning, Protection and Optimization exam, you must have passed the ITIL® Foundation Examination. There are no pre-requisites to take the course but we recommend you have a good knowledge of service management and have taken the ITIL® Foundation course. What marks this course apart? Once the Planning, Protection and Optimization exam has been passed you will be able to function in roles such as security manager, network support or change manager. The course counts as four of the necessary 17 credits to move onto Managing Across the Lifecycle course which leads to the title of “ITIL® Expert”. 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. [-]

CompTIA Cloud Essentials (CLO-001)

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

Seek opportunities in the exciting and expanding IT industry in one of the most specialised areas. Ensure that you have the relevant knowledge of cloud computing and its key concepts with this CompTIA Cloud Essentials course. [+]

Best Distance learning Course Studies in Computer Science in United Kingdom. What are the objectives of this course? This course will teach students the essential knowledge needed to understand cloud computing and its basic concepts. Characteristics of cloud services from a business perspective Business value of cloud computing Technical perspective/cloud types Steps to successful adoption Impact and changes on IT service management Risks and consequences Who is it intended for? Anyone who is looking to gain the fundamental and practical knowledge of cloud computing, whether that be IT professionals or non-IT staff. Requirements There are no pre-requisites for this course. What marks this course apart? Once students have completed this course they can go on to study further cloud-based qualifications or look to tie it in with other courses to provide a broader IT knowledge base. Students will be able to function in roles such as cloud engineer, cloud systems engineer and cloud support engineer. 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. [-]

CompTIA IT Fundamentals (FC0-U51)

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

Seek opportunities in the IT industry by gaining the vital knowledge encompassed in this CompTIA IT Fundamentals course which covers the foundational computing concepts from hardware to IT security. [+]

What are the objectives of this course? From a basic introduction to common computer components through to advanced techniques in maintaining security and performance of a desktop PC, students will have a good understanding of common PC issues and how to resolve them. The basic principles and use of operating systems like Microsoft Windows. Managing software and file types. Understanding computer peripherals and common ports and connectors used by modern PC hardware. Identifying and protecting against basic security threats and surfing the web safely. Building and configuring a basic network and sharing data with other network users. The basic use of a computer workstation, operating system and software. Simple troubleshooting techniques and safety techniques. Who is it intended for? The course is ideal for Junior IT technicians who need to develop their knowledge of computer basics or anyone who would like to improve their knowledge to move into the IT industry and study towards industry-approved qualifications. Requirements There are no pre-requisites for this course. What marks this course apart? Once you have taken the IT fundamentals course you will be able to go onto further IT study – such as A+, Network+ or Security+ depending on your desired role in the industry. That would prepare you for most roles in IT such as system administrator, network engineer and support technician. 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. [-]

CompTIA Mobility+ (MB0-001)

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

Stay ahead of the competition in the job market by gaining the knowledge in the latest mobility trends and the ability to work with an extensive variety of existing and emerging mobile technologies. [+]

Best Distance learning Course Studies in Computer Science in United Kingdom. What are the objectives of this course? Learn all the knowledge you need to pass the CompTIA Mobility+ (MB0-001) examination with this expertly designed course. Learn about over-the-air technologies with section devoted to WIMAX, radio frequency, RF power fun, antennas, governing bodies and regulations. All you need to know about network infrastructure including network foundations, OSI model review, wireless terms and technology, wireless media and communication, unified wireless architecture and SSIDs and VLANs. Mobile device management, profiles and policies, enterprise mail and messaging, wireless site surveys and wireless device management. Master the crucial area of security including mobile device security, network security, security protocols, EAP overview, encryption overview, common security troubleshooting and potential risks Wireless troubleshooting Who is it intended for? This course is for any IT professional who is looking to specialise in the mobile environment in a world where the knowhow is much in-demand. Requirements There are no pre-requisites for this course but we do recommend at least 18 months of work experience in administration of mobile devices in enterprise. What marks this course apart? Over 70% of all companies have already made an investment to build mobility solutions. You could get into this rapidly rising part of the ever-growing IT and telecommunications industries. Source: Indeed 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. [-]

CompTIA Cloud+ (CV0-001)

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

With the need for IT professionals who specialise in cloud computing growing, there are more and more opportunities becoming available. Be able to proactively seek these opportunities by completing this CompTIA Cloud+ course which will show your expertise in implementing and maintaining cloud technologies. [+]

What are the objectives of this course? Learn everything you need to have a good understanding of the key concepts behind cloud computing and how they can be implemented into an organisation’s IT infrastructure. Introduction to models, service and delivery models, terms and characteristics and objects storage concepts. Install, configure and manage VM and devices. Backups, virtual disks, virtual switches and virtual resource migration. Discover the benefits of virtualisation in a cloud environment before comparing and contrasting virtual environments. Infrastructure, different access protocols, storage configuration, file system types, executing storage provisioning and network sharing. Implementing appropriate network configurations and the importance of network optimisation. Troubleshooting basic network configurations and troubleshoot commands. Common network protocols and common hardware resources Resource management and establishing baselines and thresholds How to appropriately allocate physical host resources and virtual guest resources and how to use appropriate tools for remote access. Master security, including storage security concepts and methods, different encryption technologies and identifying access control methods. Systems management, how to diagnose, remediate and optimise and common performance concepts and testing techniques. Study business continuity in cloud and solutions to meet availability requirements. Who is it intended for? We recommend IT professionals with at least 24-36 months of work experience in IT networking/data centre administration to take this course. It provides solid foundational skills for the cloud infrastructure. Requirements There are no pre-requisites to take this course, but we do recommend 24-36 months of work experience in IT networking or data centre administration. What marks this course apart? Once you have passed the CompTIA Cloud+ CV0-001 exam you will be qualified to work in roles such as cloud support engineer, cloud network architect and cloud software engineer. 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. [-]

CompTIA Network+ 2015 (N10-006) with Live Labs

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

Possess the key skills to move forward in your career in the IT industry by learning how to design, configure, manage and troubleshoot any wired and wireless networks with this CompTIA Network+ course. [+]

Best Distance learning Course Studies in Computer Science in United Kingdom. What are the objectives of this course? The course provides you with all the knowledge you’ll need to pass the latest version of the CompTIA Network+ exam – N10-006. Live Labs are included and are seen as an essential learning resource for students as it allows them to test their knowledge and skills in practice exercises and environments without the need to invest in a costly test lab of their own. Introduction to networking Networking Standards – OSI/RM and IEEE Network Standards Physical network cable types and the situation in which they would be deployed. Understanding of TCP/IP – IPv4, IPv6, subnets and IP addressing Network Devices Building Wide Area Networks (WANs) and the correct topology to use for specific networking context. Introduction to Remote Networking, authenticating remote connections and understanding Virtual Private Networks. Planning network security, how to identify threats and vulnerabilities and how to protect the network from those threats. Maintaining business continuity and virtualization and cloud computing to help build a scalable high performance network. Monitoring and troubleshooting networks. Who is it intended for? This course is for anyone who is looking to gain fundamental knowledge of IT networking and is invaluable for anyone looking to get started in the industry. Requirements There are no pre-requisites for this course. What marks this course apart? Once you have completed the Network+ course and become qualified by passing the examinations, you will be able to function in network support or administration roles. You can also go on to study further IT qualifications that suit your career development needs. 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. [-]

CompTIA A+ Technician 2015 (220-901, 220-902) with Live Labs

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

Actively seek opportunities in the IT industry with the knowledge contained in the industry-leading CompTIA certifications and make a start with this CompTIA A+ course with Live Labs. [+]

What are the objectives of this course? Master fundamentals of PC hardware, networking, operating systems, troubleshooting and security with this training materials and live labs package. The live labs are an essential learning resource for students as it allows them to test their knowledge and skills in practice exercises and environments without the need to invest in a costly test lab of their own. The course covers the full syllabus for CompTIA A+ 220-901 & 220-902: Introduction to PCs and IT certification Internal hardware components and how to expand hardware capabilities Storage fundamentals Use of peripheral devices and mobile devices Managing mobile devices Hardware and network troubleshooting Applying core concepts and protocols of networking such as IPv4, IPv6, DHCP and subnet mask to set up and support wired and wireless networks. Potential network connectivity issues and how to overcome them Introduction to operating systems Installing, configuring and managing traditional operating systems including Android, iOS, Windows and Linux. Supporting and securing access to data by using authentication, access control and encryption for an organisation. Utilizing the basics of virtualization, cloud computing, desktop imaging and deployment to support IT infrastructures. Troubleshooting and operational procedures Who is it intended for? CompTIA A+ is a vendor-neutral qualification and is seen as essential training for IT engineers, technicians and support analysts. Requirements There are no pre-requisites to take the course. In order to be CompTIA A+ certified you must pass both exams. What marks this course apart? CompTIA A+ certified IT professionals can function in roles such as IT support technician, IT engineer and support analyst. The CompTIA A+ is also the entry-level course for the rest of the CompTIA Qualifications, meaning that upon completion you’ll be able to move onto the professional level depending on which speciality you wish to branch into. 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. [-]

CompTIA Security+ 2014 (SY0-401) with Live Labs

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

Enter the IT security industry with the knowledge of the globally-recognised CompTIA best practice concepts in this course. [+]

Best Distance learning Course Studies in Computer Science in United Kingdom. What are the objectives of this course? Learn the fundamentals of computer security with the vendor-neutral CompTIA Security+ course and live labs package where you will have 19 comprehensive modules to guide you through everything you’ll need to know to pass your exams. The live labs are an essential learning resource for students as it allows them to test their knowledge and skills in practice exercises and environments without the need to invest in a costly test lab of their own. Network Terminology. Learn all you need to know about wireless. Introduction to security terminology. Identifying and satisfying compliance needs and policies for data security. Physical Security. Gain insight into disaster recovery, risk analysis, business continuity and business impact analysis. Introduction to Computer Forensics. Different types of attacks and system security threats and how they can be blocked. The use of encryption to protect data, even if it is intercepted by a third party. Cryptography Who is it intended for? Anyone who is looking to enter the world of IT security or any IT professional who is looking to upskill. Requirements There are no pre-requisites for this course. What marks this course apart? This qualification will provide you with all the knowledge you need to go into roles such as security architect, security administrator or security engineer. 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. [-]