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
Learn how to use popular packages that extend Weka's functionality and areas of application. Use them to mine your own data! [+]
This course will bring you to the wizard level of skill in data mining, following on from Data Mining with Weka and More Data Mining with Weka, by showing how to use popular packages that extend Weka’s functionality. You’ll learn about forecasting time series and mining data streams. You’ll connect up the popular R statistical package and learn how to use its extensive visualization and preprocessing functions from Weka. You’ll script Weka in Python – all from within the friendly Weka interface. And you’ll learn how to distribute data mining jobs over several computers using Apache SPARK.What topics will you cover? Time series analysis Data stream mining Incremental classifiers Evolving data streams Support vector machines Accessing data mining in R Distributed data mining Map-reduce framework Scripting data mining in Python and Groovy Applications * Soil analysis * Sentiment analysis * Bioinformatics * MRI neuroimaging * Image classification What will you achieve? ... [-]
Explore key concepts in data analytics, systems theory, and information governance, and apply them to healthcare decision-making. [+]
This online course explores the intersection of data analytics and healthcare. By the end of the course, you will know how to apply common frameworks and key concepts in data analytics, systems theory, and information governance.
The course starts by examining how healthcare data is collected and stored. It then goes on to explore how information management methods, machine learning, and data visualization are used in data analysis.
You will learn to leverage data analysis tools and techniques to inform better decision-making in healthcare.What will you achieve?
By the end of the course, you'll be able to...Explore healthcare data and understand key terminology and concepts. Identify key data challenges currently facing healthcare. Identify current trends and approaches in dealing with challenges and limitations related to healthcare data. Investigate how continual adjustments to data-centric health systems can be embedded within such systems to improve healthcare and health analytics. Assess the tension between competing interests and needs of stakeholders in relation to the analysis of healthcare data. Identify changes in medicine over the last 20 years. Assess the objectives of personalized medicine and the way data aggregation is impacting its development. Discuss the relationship between digital health and consumerisation of healthcare data. Develop a project proposal that identifies a problem, and address the key aims and objectives in solving the issue. [-]
Discover the power of Open Data and learn how you can use it to transform business. [+]
Open Data is data that anyone can access, use or share and when used well it can be extremely powerful. It enables businesses, citizens, developers and researchers to harness resources that can make crucial improvements to their communities and the economy. It can also help with the development of new products and services, improve business efficiency and create economic value.
This course provides new insight into the history of Open Data, its pros and cons, business cases and business models related to publishing and using Open Data.
How could you benefit? Join to find out.What topics will you cover? What is Open Data? Why is Open Data useful in business? How to assess and manage risk when using Open Data How Open Data can improve business How to create an Open Data business model How to use external Open Data How to publish Open Data What will you achieve? ... [-]
Learn how process mining can be used to turn healthcare data into valuable insights to improve patient care while reducing costs. [+]
Within healthcare, there are thousands of complex and variable processes that generate data including treatment of patients, lab results, and internal logistic processes. Analysing this data is vital for improving these processes and ending bottlenecks.
On this course, you will explore how process mining can help turn this data into valuable insights by looking at different areas of process mining and seeing how it has been applied. You will even get the chance to apply process mining to real life healthcare data.What topics will you cover?
Process mining provides a critical, process-centric perspective on data, which is not available with classical data mining or machine learning techniques. Applying process mining in the healthcare environment is extra beneficial since processes are complex, and costs are high.... [-]
Become a critical consumer of social statistics. Learn what numbers reveal, when and why they mislead, and how to spot fake news. [+]
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? ... [-]
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. [+]
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.... [-]
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. [+]
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.... [-]
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 datasets.[+]
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 datasets. 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. [-]
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. [+]
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? ... [-]
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. [+]
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.... [-]
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. [+]
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 ... [-]
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. [+]
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 organize the data. Use subroutines to organize 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? ... [-]
Learn how to fully utilise the features of the Perl programming language in web application development with this course from CIW. [+]
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 skill set by learning new web scripting techniques.... [-]
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. [+]
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. ... [-]
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. [+]
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 2012The 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... [-]