Online Course in Data Science in United Kingdom

View Online Courses in Data Science in United Kingdom 2018

Data Science

One of the best ways to further career goals is investing in higher education. By taking courses in their field, students demonstrate commitment to their careers. Individual classes can provide valuable skills and advanced training.

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)

Online Course in Data Science in United Kingdom

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Data Science for Digital Marketing

Southampton Data Science Academy
Online Full time Part time 60 hours August 2018 United Kingdom Cambridge + 1 more

This course is a practical introduction to how you can use data and data science techniques to improve marketing insights and manage customer interaction in web-based environments. Its content is aimed at people charged with delivering real engagement with their organization’s clients in a digital age. [+]

About this course

This course is a practical introduction to how you can use data and data science techniques to improve marketing insights and manage customer interaction in web-based environments. Its content is aimed at people charged with delivering real engagement with their organization’s clients in a digital age. Offering a practical use of data science for marketing insights it aims to help you enhance customer acquisition, retention and grow your customers lifetime value.

Taking place over six weeks, each week will contain a mix of taught material, self-study, activities and practical exercises all carried out online.

Course overview

The amount of data produced by customers engaging with digital marketing channels provides new opportunities for marketers to leverage more effective, targeted and personalized campaigns, track customer journeys, improve customer segmentation and predict their behavior. This course will teach you the fundamental concepts and tools in data science that equip marketers to make use of these new opportunities effectively.... [-]


Fundamentals of Data Science (Technical) - an online course

Southampton Data Science Academy
Online Part time 60 hours September 2018 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. [+]

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 vast amounts of data. This week also contains... [-]

Course : Making Sense of Data in the Media

FutureLearn
Online Full time Part time 3 weeks November 2017 United Kingdom UK Online + 1 more

Become a critical consumer of social statistics. Learn what numbers reveal, when and why they mislead, and how to spot fake news. [+]

What do social statistics and economic data really reveal?

Increasingly, we’re bombarded with all sorts of data about how society is changing. From opinion poll trends and migration data to economic results and government debt levels.

On this course from the Sheffield Methods Institute at University of Sheffield, we’ll look at ways of cutting through the confusion to decide what numbers reveal, when and why they (sometimes deliberately) mislead and determine what is ‘fake news.’

What topics will you cover? Recognising the ‘size’ of numbers that are reported in the media. How change and risk are reported. How social statistics are created, paying particular attention to survey data. What we can learn from census categories. The different ways that surveys can be conducted and the impact that different formats can have on the results. How to draw a representative sample from a population. Sources of measurement error in surveys. Measuring sensitive or difficult subjects. Checking whether data is trustworthy by reviewing the methodology. How to calculate the Margin of Sampling Error (MoSE). The difference between correlation and causation. Where to find existing sources of data. How to develop a quantitative research project. What will you achieve? ... [-]

Google Sheets

Excel with Business
Online Full time Part time 6 hours Open Enrollment United Kingdom London + 1 more

Engage with this exciting new product and become a Google Sheets Master with this course. Google Sheets replicates many of Excel’s functions but has gone one step further. [+]

Become a Google sheets master with this course. In this course you will learn: How to adjust the way data and information are displayed. Use advanced tools like Macros, Import HTML and Scripts to replicate Excel’s functions. How to write powerful formulas quickly and easily with the point-and-click method. Use data tools like sorting, subtotaling, and filtering. How to automate tasks with time-saving scripts and add-ons. Discover Spreadsheets secrets and shortcuts.

Engage with this exciting new product and become a Google Sheets Master with this course. Google Sheets replicates many of Excel’s functions but has gone one step further. Expect to find charts, graphs, pivot tables, functions, and formulas, but you’ll also discover what makes Google Sheets unique, like file sharing, revision history, web-based scripts, macros, and much more. It’s not your typical spreadsheet.... [-]


Introduction To Data Science

Excel with Business
Online Full time Part time 10 hours Open Enrollment United Kingdom London + 1 more

By studying this data science course online, you will quickly master the basics of the discipline, opening you up to a wealth of new job opportunities and propelling you into a fulfilling and lucrative career. [+]

“Data scientist: the sexiest job of the 21st century”– Harvard Business Review

Looking to break into the field of Data Science, or simply gain a solid understanding of the discipline? Want to better understand the importance of data, and how to use it?

A Data Scientist’s skillset is the most sought-after skill across a wide range of industries. The median Data Scientist salary is $91k per annum according to Payscale, and Glassdoor awarded it Best Job in America (2016 & 2017), with a job satisfaction score of 4.4 / 5.

By studying this data science course online, you will quickly master the basics of the discipline, opening you up to a wealth of new job opportunities and propelling you into a fulfilling and lucrative career.... [-]


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 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. [+]

Online Courses in Data Science in United Kingdom. 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 Data to Insight: an Introduction to Data Analysis

FutureLearn
Online Part time 8 weeks November 2017 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. [+]

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 Global Systems Science and Policy: an Introduction

FutureLearn
Online Part time 2 weeks December 2017 United Kingdom UK Online

Policy is largely a coordination problem. Here data and models can help. The Ebola outbreak in West Africa did not spread worldwide because science-based policies were implemented, replacing ineffective policies such as restricting movement by closing borders. [+]

Online Courses in Data Science in United Kingdom. Policy is the art of achieving a desired outcome in the presence of constraints and differing priorities. Policy is largely a coordination problem. Here data and models can help. The Ebola outbreak in West Africa did not spread worldwide because science-based policies were implemented, replacing ineffective policies such as restricting movement by closing borders. Model policy problems with Global Systems Science The science of epidemics is one of the successes of Global Systems Science (GSS) – an interdisciplinary approach to modelling the complex, multi-faceted and intertwined problems of the modern world. Another example is the use of network science in financial regulation dealing with many interconnected financial actors. As its name suggests, most of those problems have a global context, but GSS addresses policy issues at all levels – from the individual to local communities to nations to regions. Understand the four main elements of Global Systems Science This free online course will help you understand the four main elements of Global Systems Science, and how they can work together to create better formulated policy with better outcomes: 1. Policy at all levels, from individuals to the world: we will begin with policy problems at global and national scales. How can these problems be tackled? How can we know which, if any, proposed policy options will work. 2. The new, interdisciplinary approach: we will explore how the science of complex social, economic, political, biological, physical and environmental systems can inform policy makers... [-]

Course in Data Mining with Weka

FutureLearn
Online Part time November 2017 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 Open Enrollment 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... [-]

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. [+]

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 and PivotCharts. Microsoft Excel 2016 - Course Book... [-]

ECDL Online Course

Distance Learning Centre
Online Part time 80 hours Open Enrollment United Kingdom UK Online

The European Computer Driving Licence (ECDL) is a relevant and internationally recognised qualification for computer users. ECDL improves your understanding and efficient use of computers. This distance learning course open up a variety of opportunities through the broad range of skills it provides. [+]

Online Courses in Data Science in United Kingdom. The European Computer Driving Licence (ECDL) is a relevant and internationally recognised qualification for computer users. ECDL improves your understanding and efficient use of computers. This distance learning course open up a variety of opportunities through the broad range of skills it provides. The qualification is widely recognised by employers as proof of ability and competence when working with IT. The ECDL is designed for novice and intermediate computer users. It assumes no prior expertise, and offers a flexible working programme. ECDL Test Options The ECDL qualification can be completed in the following formats: ECDL Essentials: is a Level 1 ITQ Award and consists of modules 1, 2 & 7. ECDL Extra is a Level 2 ITQ Award and consists of modules 3, 4, 6 and the new Improving Productivity Using IT Module. ECDL 7 Unit consists of Modules 1 to 7 and excludes the Productivity in IT module. The qualification is widely recognised by employers as proof of ability and competence when working with computers. The course has the following Modules: Module 1 - Security for IT Users Module 2 - IT User Fundamentals Module 3 - Word Processing Module 4 - Spreadsheets Module 5 - Database Software Module 6 - Presentation Software Module 7 - Internet and Email Module 8 - Improving Productivity Using IT [-]

Course: CIW Web Development Professional (QCF) Level 3

UK Open College
Online Part time 300 hours Open Enrollment United Kingdom UK Online

The CIW Web Development Professional home study online course combines three individual qualifications at a reduced fee. This course contains the CIW Javascript Specialist course, the CIW Perl specialist course and the CIW Database Design Course. Students will learn a front & back end programming language and the required skills to integrate them with a database. [+]

The CIW Web Development Professional home study online course combines three individual qualifications at a reduced fee. This course contains the CIW Javascript Specialist course, the CIW Perl specialist course and the CIW Database Design Course. Students will learn a front & back end programming language and the required skills to integrate them with a database. Target audience: Web authors, marketing and communications professionals, PR professionals, Webmasters, graphic designers, desktop designers, technical writers, and library scientists. Qualification: CIW (Certified Internet Webmaster) Web Development Professional Accredited: Yes QCF Recognised: Yes at level 3 Awarding Body: CIW Start Date: Anytime - We enrol 365 days a year Duration: Flexible - Approx 300 Hours - 12 Months Max Support Credit Value: 30 Syllabus CIW Javascript Specialist The CIW JavaScript Specialist Course will show web developers how to use the features of the JavaScript language to design client-side, platform-independent solutions. Candidates will also understand and use the most popular applications of JavaScript. These specialised Web language skills can help you begin or grow a career in advanced Web development. Covering: JavaScript language essentials, including program flow control, form validation, image animation, frame targeting and cookie creation JavaScript code development, including writing programs and writing script for the JavaScript object model Web site implementation, including authoring and scripting, Web content creation, Web management and digital media tools CIW Perl Specialist The CIW Perl Specialist course shows developers how to fully use the features of the Perl programming language in Web application development. These specialised Web... [-]

Course: CIW Database Design Specialist (QCF)

UK Open College
Online Part time 100 hours Open Enrollment United Kingdom UK Online

Online CIW Self study course. Students will learn about the theory behind relational databases, relational database nomenclature, and relational algebra. The course includes sections on Structured Query Language (SQL) and optimising databases through normalisation. You will apply your knowledge with hands-on labs designed to teach the intricacies of database design methodology. [+]

Online Courses in Data Science in United Kingdom. Online CIW Self study course. Students will learn about the theory behind relational databases, relational database nomenclature, and relational algebra. The course includes sections on Structured Query Language (SQL) and optimising databases through normalisation. You will apply your knowledge with hands-on labs designed to teach the intricacies of database design methodology. Qualification: CIW (Certified Internet Webmaster) Database Design Specialist Accredited: Yes QCF Recognised: Yes at level 3 Awarding Body: CIW Start Date: Anytime - We enrol 365 days a year Duration: Flexible - Approx 100 Hours - 12 Months Max Support Credit Value: 10 Syllabus CIW Database Design Specialist The CIW Database Design Specialist course provides introductory vendor-neutral training for individuals planning to pursue product-focused database specialisation. This course introduces you to DB2, Oracle Database 11g, MS SQL and mySQL. You will also learn about Structured Query Language (SQL) and database optimisation through normalisation. Covering: Relational database fundamentals. Database planning. Database design methodology, including logical and physical database design. Optimisation and normalisation. Structured Query Language (SQL). Relational algebra. Transactions and database security. Pre-requisites Students looking to enrol onto this course should meet the following criteria: Be aged 16 Years or above Possess a solid knowledge of the english language Have access to a PC running windows and the internet for the duration of the whole course - Not suitable for Mac We recommend students have completed the CIW Web Foundations Associate course. Duration Course duration will vary dependant on student commitment, effort... [-]