Course in Data Science in United Kingdom

Compare Course Studies in Data Science in United Kingdom 2017

Data Science

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.

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.

Top Course Studies in Data Science in United Kingdom 2017

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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. [+]

Best Courses in Data Science in United Kingdom 2017. 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. [+]

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. [+]

Best Courses in Data Science in United Kingdom 2017. 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. [+]

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++. [+]

Best Courses in Data Science in United Kingdom 2017. 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 [-]

CIW Perl Specialist Training with Exam (1D0-437)

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

Take your knowledge of Perl programming language up to a level of mastery with this CIW Perl Specialist course and prove your abilities working with the web app development tool with the official certification. [+]

What are the objectives of this course? The course will run students through the functions of Perl which is one of the original program languages and fully prepare them for their 1D0-437 exam. The examination has a time limit of 75 minutes, in which candidates have 50 questions to answer. In order to pass you must achieve a minimum pass mark of 75%. Introduction to Perl The uses of the Perl interpreter and understand how to operate the interpreter. Understand the concepts of statements, loops and Boolean expressions. Learn how to manipulate strings using regular expressions and store program data using arrays. Manipulate data with keys and use hashes to organise the data. Use subroutines to organise code to make it more logical and easier to debug. Implement object-orientated programming techniques using Perl. Debugging Perl. Basics of database programming Who is it intended for? This course is ideal for web developers, programmers and application developers who wish to build a knowledge of the Perl language. Requirements There are no official pre-requisites for this course but we recommend candidates to have a basic knowledge of programming. What marks this course apart? Once students have completed the course and passed the exam they will be able to function in roles such as web developer, software developer and server developer. They can also take other programming courses which would go hand-in-hand with the Perl language. 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. [-]

CIW Perl Specialist Training (1D0-437)

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

Learn how to fully utilise the features of the Perl programming language in web application development with this course from CIW. [+]

Best Courses in Data Science in United Kingdom 2017. What are the objectives of this course? This course will help programmers of all levels get to grips with every function that the Perl programming language has to offer. Perl language essentials including syntax, regular expressions and data types. Server scripting, focusing on Perl language. Perl code development including access and manipulating input and output files. Implement websites including database connectivity and debugging techniques. Improve and maintain hypertext-based websites. Understand how to debug Perl Object-Oriented Perl Database connectivity and Perl Who is it intended for? This course is suitable for anyone, from beginners looking to learn about Perl programming language to IT programmers who are looking to enhance their skillset by learning new web scripting techniques. Requirements There are no official pre-requisites for this course but we recommend candidates to have a basic knowledge of programming. What marks this course apart? Once students have taken and completed this course they will be eligible to sit the 1D0-437 exam. This course will allow them to function in role such as web developer, software developer and server developer. 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. [-]

CIW Database Design Specialist Training with Exam (1D0-541)

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

Prove your understanding of product-focused database solutions with this CIW Database Design Specialist course and exam package that will give you the certification you need. [+]

What are the objectives of this course? This qualification will give students the necessary knowledge to plan and design product-focused database solutions for businesses and the certification to prove those skills to potential employers. The exam has a time limit of 90 minutes and there are a total of 50 questions. Candidates need to achieve a minimum score of 75% to pass. Introduction to Databases Logical Database Design Relational Database Physical Database Design Database Planning Structured Query Language (SQL) Overview of Database Design Methodology Relational Algebra Normalisation Transactions and Database Security Who is it intended for? This package is for anyone who is looking to upskill in their current workplace or looking to switch careers into database design and optimisation. Requirements There are no official pre-requisites for this course, however it is recommended that students have a basic knowledge of the purpose and function of a database and basic computer literacy. What marks this course apart? Candidates who pass this course will be able to function in roles such as database developer, database administrator and application developer. This course also goes hand-in-hand with other CIW training programmes as well as further database qualifications. 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. [-]

CIW Database Design Specialist Training (1D0-541)

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

Get an in-depth understanding of product-focused databases and how they help business operations run smoothly with this CIW Database Design Specialist course. [+]

Best Courses in Data Science in United Kingdom 2017. What are the objectives of this course? Learn the ins and outs of planning and designing database solutions for a corporate environment using different products with this Database Design Specialist course. Introduction to Databases Logical Database Design Relational Database Physical Database Design Database Planning Structured Query Language (SQL) Overview of Database Design Methodology Relational Algebra Normalisation Transactions and Database Security Who is it intended for? This course is for anyone who is looking to upskill to be given more responsibility in their current IT job role or anyone who is looking to get into a career in database design and optimisation. Requirements There are no official pre-requisites for this course, however it is recommended that students have a basic knowledge of the purpose and function of a database. What marks this course apart? Once students have completed this course they will be fully prepared to sit the 1D0-541 examination. They will be able to function in roles such as database developer, database administrator and application developer. 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. [-]

Microsoft MCSE - Business Intelligence (70-466, 70-467) with Live Labs

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

Create new opportunities in the IT industry using SQL Server 2012 as a foundation for building Business Intelligence (BI) and reporting solutions that deliver more data across an organisation. [+]

What are the objectives of this course? Students will learn how to design, build and deploy SQL Server BI solutions that deliver more data to more people across the organisation. This MCSE SQL Server Business Intelligence course also grants the student access to the Live Labs. This valuable learning resource allows candidates to design and test their own BI applications and reports using live equipment, they can also recreate scenarios in the course to ensure full retention of the concepts being taught. The course starts with the three modules that make up the MCSA SQL Server 2012 course: Microsoft 70-461: Querying Microsoft SQL Server 2012 Microsoft 70-462: Administering SQL Server 2012 Databases Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 The course then continues with the two modules that make up the MCSE SQL Server 2012 Business Intelligence. The first of those modules, Microsoft 70-466: Implementing Data Models and Reports with Microsoft SQL Server 2012, will take students through: How to work with large datasets across multiple platforms as is common in most modern BI applications and reports. Building Online Analytical Processing (OLAP) cubes and supporting structures such as pivot tables, PowerPivot solutions and Multidimensional Expressions (MDX) to deliver information quickly and efficiently to analysts. Choosing between the Unified Dimensional Model (UDM) and Business Intelligence Semantic models according to specific business data and reporting needs. Developing complex SQL queries to mine multiple datasets and building reports using Crescent. Microsoft 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012: Designing BI solutions that meet current and future performance and scalability needs. Using Excel Services and SharePoint Reporting integration to allow for improved data analysis and integration with other line of business applications. Designing, deploying and managing SSIS package to extend BI application functionality and expose more data for reporting and modelling. Who is it intended for? This course is suitable for IT professionals who want to reap the benefits of having the ability to deploy BI solutions in an enterprise-class environment. Requirements There are no pre-requisites to take this course. What marks this course apart? Professionals with the Business Intelligence qualification usually function in roles such as BI analyst, BI architect or BI developer. These roles usually offer an average salary of £40,000. Source: PayScale 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. [-]

Microsoft MCSE - Data Platform (70-464, 70-465) with Live Labs

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

Search for opportunities in the IT industry using the knowledge gained in this MCSE Data Platform course. Upon completion you will be able to build and administer SQL Server and data solutions in an enterprise environment. [+]

Best Courses in Data Science in United Kingdom 2017. What are the objectives of this course? In this course, candidates will fully understand the concepts behind Microsoft SQL Server 2012 and how to build and query complex database solutions in a real world environment. Students will also get 12 months access to our dedicated Live Labs where they will be able to recreate course scenarios and design new database solutions without building a costly lab of their own. Microsoft 70-641: Querying SQL Server 2012 Microsoft 70-462: Administering SQL Server 2012 Databases Microsoft 70-643: Implementing a Data Warehouse with SQL Server 2012 After completing the three MCSA SQL Server 2012 modules, students will then shift focus to the elements that make the MCSE SQL 2012 Data Platform with two additional modules. The first of those, Microsoft 70-464: Developing Microsoft SQL Server 2012 Databases, will take students through: Mastering data using Master Data Services. Ensuring data accuracy using Data Quality Services. Managing, configuring and deploying SQL Server Integration Services (SSIS) packages to automate and extend BI functionality. Performing data manipulation, transformation and integration operations. Troubleshooting data integration and quality issues. Creating and altering tables, constraints, data types, indexes and scalar functions. Designing and building advanced solutions that deliver the concurrency, integrity and reliability demanded by enterprise-class database provisions and off-loading processing requirements from custom applications. Optimising data and data access routines to improve efficiency and resource load in preparation for use with BI applications. Using performance and system information to implement a continual maintenance and improvement program. The final module, Microsoft 70-465: Designing Database Solutions for Microsoft SQL Server 2012, will focus on: Using data compression techniques to maximise storage and bandwidth usage. Building database models with lock granularity and search strategies tailored to business needs. Designing and constructing full-lifecycle database environment that consider expansion, upgrade and migration needs from the outset. Applying automation to streamline management and data processing, reducing administrator workloads. Who is it intended for? The MCSE Data Platform course is for IT professionals who want to learn the skills needed to design and implement database solutions for an organisation. Requirements There are no pre-requisites for this course. What marks this course apart? IT professionals who complete the Data Platform MCSE usually go into roles such as database analyst or database designer. These roles average a salary of £32,000. Source: PayScale 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. [-]

Microsoft MCSA - SQL Server (70-461, 70-462, 70-463) with Live Labs

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

Gain a full understanding of the SQL Server environment and be able to implement that knowledge into a business context, aiding you in your search for employment opportunities. [+]

What are the objectives of this course? This course package covers everything from the core fundamentals of querying tables through to building an enterprise-class data warehouse. As with all of our technical IT packages, we provide 12 months unlimited access to our dedicated Live Labs. This live equipment allows students to input their knowledge and put it to the test by recreating course scenarios and roaming around the live environment without putting their system at risk. It’s a very cost-effective and risk-free way to ensure an understanding of the key Microsoft concepts. This course is made up of three modules: Microsoft 70-461: Querying SQL Server 2012 The Transact-SQL (T-SQL) language and how to build efficient queries, stored procedures and views that return key information quickly. How to combine datasets, rank results and extend tables programmatically. Optimise T-SQL statements for the most efficient operation. Extend reporting and data transfer capabilities using XML. Microsoft 70-462: Administering SQL Server 2012 Databases Appreciate the correct way to install and use add-on components, instances and services. Build systems for high availability environments using AlwaysOn, mirroring and replication to keep data online at all times. How to protect information from loss using database backup, restore and disaster recovery (DR) techniques. Securing database contents by configuring permissions, alerts, logins, roles and more. Practical troubleshooting, maintenance and optimisation techniques Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 Advanced data management concepts like data cleansing techniques and Extract Transform Load (ETL) package development and scheduling will keep information accurate, improve data management, transfer and synchronisation for enterprise-class system design. How to automate and simplify database management by using SSIS to manage package execution, task execution and scripts. How best to maintain server health by using auditing, logging and event handling to assess and troubleshoot potential problems. Who is it intended for? This course is perfect for administrators, system engineers and developers who are looking to earn an industry-recognised qualification. It is also suitable for any IT professional who is looking to upgrade their skillset with an understanding of key server management fundamentals. Requirements There are no pre-requisites for this course. What marks this course apart? IT professionals who have the MCSA SQL Server 2012 qualification can function in roles such as database administrator, database analyst and SQL developer. These roles average a salary of £30,000 a year. Source: PayScale 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. [-]

Microsoft MCSA - Windows 7 (70-680, 70-685, 70-686) with Live Labs

E-Careers
Online Open Enrollment United Kingdom UK Online

Start your search for new opportunities in the IT industry by gaining the knowledge of one of the world’s most recognisable names. This course will give you an in-depth understanding of the Windows 7 operating system and allow you to configure, manage, support and maintain the system upon completion, preparing you for the official exams. [+]

Best Courses in Data Science in United Kingdom 2017. What are the objectives of this course? This course will fully prepare students for the three respective module exams that make the MCSA Windows 7 qualification. It will help you demonstrate the knowledge and skills in working with Windows 7 and validate your ability to support end users, while maintaining system and mobile devices. Live Labs are included in this package 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. Microsoft 70-680: Configuring Windows 7 Installing, Upgrading and Migrating to Windows 7 Deploying Windows 7 Configuring Hardware and Applications Configuring Network Connectivity Configuring Access to Resources Configuring Mobile Computing Monitoring and Maintaining Windows 7 Systems Microsoft 70-685: Windows 7, Enterprise Desktop Support Technician Windows 7 Recovery Environment Using Group Policy Hardware Device and Driver Issues Network Connectivity Issues Remote Connectivity Issues Logon and Resource Access Issues Security Issues Operating System and Application Issues Performance Related Issues Microsoft 70-686: Windows 7, Enterprise Desktop Administrator Planning and Managing a Client Lifecycle Strategy Designing a Standard Image Designing Client Configurations Designing a Windows 7 Client Deployment Designing Applications Packages for Deployment Identifying and Resolving Deployment and Client Configuration Issues Who is it intended for? The course is for anyone who is looking to gain industry-recognized certification and prove their ability with Windows 7 as a desktop operating system. This could be any IT professional who is looking to upskill, or someone who needs the qualification for a job role. Requirements There are no pre-requisites to take this course. What marks this course apart? This course can lead to further Microsoft qualifications depending on your personal/professional preference. People who achieve the MCSA: Windows 7 qualification usually function in roles such as computer support specialist, desktop support and service 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. [-]