Online Course in Data Science in United Kingdom

Find Online Courses in Data Science in United Kingdom 2017

Data Science

Courses are individual units of study that can be taken singly or as a series of classes concentrated in a specific area of study. Individual classes can vary in length, cost, and number of sessions per week.

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

Online Course in Data Science in United Kingdom

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Fundamentals of Data Science (Technical) - an online course

Southampton Data Science Academy
Online Part time 60 hours September 2017 United Kingdom Cambridge

This course equips beginners with the theoretical knowledge and technical skills to apply the powerful insights of data science to their work, as well as providing the foundations for a career in Data Science. [+]

Online Courses in Data Science in United Kingdom. This course equips beginners with the theoretical knowledge and technical skills to apply the powerful insights of data science to their work, as well as providing the foundations for a career in Data Science. Overview This course has been exclusively designed from the ground up by the world-leading Data Science team at the University of Southampton. The course emphasises a hands-on approach to learning data skills, offering a number of interactive, online exercises that will let you try out many of the techniques and concepts covered in the taught material. The technical aspects of the course are implemented using Python, and we strongly recommend you have some experience with Python or similar languages. Structure The course is broken into six weeks. In week 1, you will meet your tutor and the other participants on this course and find out more about what you will be doing over the next 6 weeks and how we will be supporting you. You will get "hands-on" experience of Jupyter, the web-based environment which you will use for the course exercises and assignments. This week also contains a Python Primer activity for those of you who are unfamiliar with the programming language or would like a refresher. In week 2, you will learn about the fundamental terminology and processes in data science, discovering the technology landscape that has helped fuel the data explosion, and the tools that data scientists use to unlock the hidden value in these... [-]

Course in Predictive Analytics: Gaining Insights from Big Data

FutureLearn
Online Part time 4 weeks Open Enrollment United Kingdom UK Online

Learn how predictive analytics tools can help you gain insights from big data. Collecting big data is just the first step; once you have it, how do you make sense of it? This free online course will show you how predictive analytics tools can help you gain information, knowledge and insights from big data. [+]

Learn how predictive analytics tools can help you gain insights from big data. Collecting big data is just the first step; once you have it, how do you make sense of it? This free online course will show you how predictive analytics tools can help you gain information, knowledge and insights from big data. Over the next four weeks, experience the power of HPE’s Vertica Analytics platform as an applied tool. Using Vertica Analytics and a case study approach, apply built-in predictive analytics functions and algorithms – linear regression, logistics regression and k-means clustering – to derive insight from your data, helping to create opportunities for your organisation. What topics will you cover? Modelling, estimation and prediction Estimation and prediction using linear regression Estimation and prediction using logistic regression Estimation and prediction using k-means clustering What will you achieve? Describe big data analytics Identify solutions to big data problems Evaluate predictive data analysis models Assess the suitability of predictive models Model data using various predictive models Who is the course for? This course is aimed at data scientists, data analysts and those who need to deal with big data in their workplace. For learners without experience in this field, familiarity with SQL and UNIX is highly recommended in order to make the most of the learning opportunities. [-]

Course in Big Data: Statistical Inference and Machine Learning

FutureLearn
Online Full time Part time 2 weeks June 2018 United Kingdom UK Online + 1 more

This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. [+]

Online Courses in Data Science in United Kingdom. Why join the course? Many people have big data but only some people know what to do with it. Why? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means we need new solutions for analysing data. This course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. We also expose you to three software packages so you can develop your coding skills by completing practical exercises. What will you achieve? Identify big data application areas Explore big data frameworks Model and analyse data by applying selected techniques Demonstrate an integrated approach to big data Develop an awareness of how to participate effectively in a team working with big data experts Who is the course for? You will enjoy this course most and benefit from the learning experience if you have a basic understanding of statistics and mathematics at a university undergraduate level. What software or tools do you need? You will be using the following free tools. Please review the product websites below to ensure your system meets the minimum requirements: R and R Studio Desktop (open source edition) You will complete practical exercises using R Studio, so you’ll need to be familiar enough with R to: install a package import data read and run starter code develop a solution or read through a... [-]

Course in Managing Big Data with R and Hadoop

FutureLearn
Online Part time 5 weeks Open Enrollment United Kingdom UK Online

This online course will introduce you to various high performance computing (HPC) facilities for big data analysis. This includes R – a programming language renowned for its simplicity, elegance and community support – and Hadoop – an open source, Java-based programming framework for large data sets. [+]

This online course will introduce you to various high performance computing (HPC) facilities for big data analysis. This includes R – a programming language renowned for its simplicity, elegance and community support – and Hadoop – an open source, Java-based programming framework for large data sets. You will find out how to use them, avoiding common pitfalls and saving you time and money. What topics will you cover? First steps in R and RStudio Working with Apache Hadoop 1 – Fundamentals Working with Apache Hadoop 2 – RHadoop Statistical learning using RHadoop What will you achieve? By the end of the course, you will: Understand how the performance of modern supercomputing is achieved Understand the basic functionality of the Bash terminal window Understand the basic functionality of Apache Hadoop for scalable, distributed computing Understand the basic functionality of RHadoop Understand the basic problems of supervised and unsupervised learning Perform basic clustering, regression and classification with RHadoop. [-]

Course in Data to Insight: an Introduction to Data Analysis

FutureLearn
Online Part time 8 weeks Open Enrollment United Kingdom UK Online

Organisations around the world are collecting more data than ever. They are talking about big data, data science, business intelligence, analytics, data mining and data visualisation.They want to extract insights from data about their worlds and make predictions to inform their decisions. [+]

Online Courses in Data Science in United Kingdom. Gain useful practical and thinking skills in data analysis efficiently Organisations around the world are collecting more data than ever. They are talking about big data, data science, business intelligence, analytics, data mining and data visualisation.They want to extract insights from data about their worlds and make predictions to inform their decisions. This is an introduction to statistical data analysis and data visualisation for those new to the subject as well as those wanting a fresh perspective. We focus on exploration of data and discovery, the limitations of data, avoiding being misled, and learning to think like a statistician. What will you achieve? Explore fundamental statistical concepts Create visual and numerical representations of data Interpret data analysis outputs Discuss possible interpretations of statistical data Who is the course for? Participants ranging from total beginners to experienced PhD researchers have completed and enjoyed this course. It assumes very little experience with statistical ideas and concepts. You will need to be comfortable thinking in terms of percentages and have a level of familiarity with computers that having learned to do basic things in Microsoft Excel would provide. [-]

Course in Data Mining with Weka

FutureLearn
Online Part time Open Enrollment United Kingdom UK Online

Today’s world generates more data than ever before! Being able to turn it into useful information is a key skill. This course introduces you to practical data mining using the Weka workbench. [+]

Learn how to mine your own data Today’s world generates more data than ever before! Being able to turn it into useful information is a key skill. This course introduces you to practical data mining using the Weka workbench. We’ll dispel the mystery that surrounds the subject. We’ll explain the principles of popular algorithms. We’ll show you how to use them in practical applications. You’ll get plenty of experience actually mining data during the course, and afterwards you’ll be well equipped to mine your own. Weka originated at the University of Waikato in NZ, and Ian Witten has authored a leading book on data mining. What topics will you cover? What is data mining? Where can it be applied? How do simple classification algorithms work? What are their strengths and weaknesses? In what ways are real-life classification methods more complex? How should you evaluate a classifier’s performance? What is “overfitting” and how can you combat it? How can ensemble techniques combine the result of different algorithms? What ethical considerations arise when mining data? What will you achieve? Demonstrate use of Weka for key data mining tasks Evaluate the performance of a classifier on new, unseen, instances Explain how data miners can unwittingly overestimate the performance of their system Identify learning methods that are based on different flavors of simplicity Apply many different learning methods to a dataset of your choice Interpret the output produced by classification methods Describe the principles behind many modern machine learning methods Compare the decision boundaries... [-]

Course in Using Data to Improve Student Outcomes

FutureLearn
Online Part time 3 weeks July 2017 United Kingdom UK Online

This free online course will help you to use data science to deliver better outcomes for your students. Each week will focus on a different aspect of data. You will identify sources and interpret them, determine their implications and establish actions for improvement. [+]

Online Courses in Data Science in United Kingdom. This free online course will help you to use data science to deliver better outcomes for your students. Each week will focus on a different aspect of data. You will identify sources and interpret them, determine their implications and establish actions for improvement. Week 1 – Improvement Science We will consider: different sources and types of data; ways to improve student outcomes; improvement processes in your own context and professional experience; and real-world examples of improving student outcomes. Identifying different sources and types of data Ways to improve student outcomes Improvement processes in your own context and professional experience Real-world examples of improving student outcomes Week 2 – Findings We will discuss: how to present and evaluate data effectively; the difference between data and findings; the role of ethics in data handling and sharing; and the relationship required between data, findings and actions, to achieve continuous improvement. How to present and evaluate data effectively The difference between data and findings The role of ethics in data handling and sharing The relationship required between data, findings and actions, to achieve continuous improvement Week 3 – Actions We will explore: different indicators for measuring improvement; how to collect sample data and select the appropriate indicator; and how to present indicators and actions to your students. Different indicators for measuring improvement How to collect sample data and select the appropriate indicator How to present indicators and actions to students Learn with expert educators from AACTE... [-]

CIW Database Design Specialist Training (1D0-541)

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

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

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 Langley Marish

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. [+]

Online Courses in Data Science in United Kingdom. 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:... [-]

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

E-Careers
Online Open Enrollment United Kingdom UK Online Langley Marish

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. [+]

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... [-]

Course in Learn to Code for Data Analysis

FutureLearn
Online Full time Part time 4 weeks October 2017 United Kingdom UK Online + 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. [+]

Online Courses in Data Science in United Kingdom. Why join the course? 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. What will you achieve? Demonstrate an understanding of basic programming concepts. Develop an awareness of open data sources as a public resource. Using a programming environment to develop programs. Produce and write simple programs to analyse large bodies of data and produce useful results. Who is the course for? The course does not assume prior experience in programming or data analysis. Basic familiarity with a... [-]

Course in Big Data: Mathematical Modelling

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

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

Why join the course? 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... [-]

Course in Functional Programming in Haskell: Supercharge Your Coding

FutureLearn
Online Full time Part time 6 weeks Open Enrollment United Kingdom UK Online + 1 more

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

Online Courses in Data Science in United Kingdom. Why join the course? 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. What topics will you cover? Evaluation via expression reduction Semantics of function abstraction and application Operations involving basic types including integers, characters and booleans Definition and traversal of recursive data types including lists and trees Techniques for structuring programs of non-trivial size... [-]

MOS Word 2016 Course

Distance Learning Centre
Online Part time 100 hours Open Enrollment United Kingdom UK Online

The MOS Word 2016 Course (Desktop / Office 365)covers Microsoft Office Specialist exam objectives to help students prepare for the Word 2016 77-725 Core Document Creation, Collaboration and Communication Exam and the Word 2016 Expert 77-726 Creating Documents for Effective Communication Exam. [+]

The MOS Word 2016 Course (Desktop / Office 365)covers Microsoft Office Specialist exam objectives to help students prepare for the Word 2016 77-725 Core Document Creation, Collaboration and Communication Exam and the Word 2016 Expert 77-726 Creating Documents for Effective Communication Exam. Students completing this course will gain a fundamental understanding of the Word environment and will learn how to complete tasks independently. They demonstrate the correct application of the principle features of Word 2016 by creating and editing two- to three-page documents for a variety of purposes and situations. Document examples include professional-looking reports, multi-column newsletters, resumes, and business correspondence. As well as learning the basics of Microsoft Word Students will also learn how to deal with Word’s advanced image manipulation tools, collaboration features, cross-referencing and linking tools, entry forms and data collection, security features, and tools to automate document production. The course Includes: Microsoft Word 2016 – Course Book 1 Students will learn to: Navigate and perform common tasks in Word, such as opening, viewing, editing, saving, and printing documents, and configuring the application. Format text and paragraphs. Perform repetitive operations efficiently using tools such as Find and Replace, Format Painter, and Styles. Enhance lists by sorting, renumbering, and customising list styles. Create and format tables. Insert graphic objects into a document, including symbols, special characters, illustrations, pictures, and clip art. Format the overall appearance of a page through page borders and colours, watermarks, headers and footers, and page layout. Use Word features to help identify and correct... [-]

MOS Excel 2016 Course

Distance Learning Centre
Online Part time 100 hours Open Enrollment United Kingdom UK Online

The MOS Excel 2016 Course (Desktop / Office 365) covers Microsoft Office Specialist exam objectives to help students prepare for the Excel 2016 77-727 Core Data Analysis, Manipulation, and Presentation Exam and the Excel 2016 Expert 77-728 Interpreting Data for Insights Exam. [+]

Online Courses in Data Science in United Kingdom. The MOS Excel 2016 Course (Desktop / Office 365) covers Microsoft Office Specialist exam objectives to help students prepare for the Excel 2016 77-727 Core Data Analysis, Manipulation, and Presentation Exam and the Excel 2016 Expert 77-728 Interpreting Data for Insights Exam. Microsoft Excel is the industry standard for Spreadsheets and helps companies and individuals to calculate, analyse, revise, update, and present your data in a professional way and this course will show students how to accomplish their tasks in much less time, than if you used traditional pen-and-paper methods or non-specialised software. This course aims to provide you with a foundation for Excel knowledge and skills, which you will build upon this to eventually become an expert in data manipulation. The course Includes: Microsoft Excel 2016 - Course Book 1 Upon successful completion of this book, you will be able to create and develop Excel worksheets and workbooks in order to work with and analyse the data that is critical to the success of your organisation. Students will learn to: Get started with Microsoft Office Excel 2016. Perform calculations. Modify a worksheet. Format a worksheet. Print workbooks. Manage workbooks. Microsoft Excel 2016 - Course Book 2 Upon successful completion of this book, you will be able to leverage the power of data analysis and presentation in order to make informed, intelligent organisational decisions. Students will learn to: Work with functions. Work with lists. Analyse data. Visualize data with charts. Use PivotTables... [-]