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
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. [+]
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.... [-]
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. [+]
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. [-]
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. [+]
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. [+]
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. [+]
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. [+]
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 afterward, 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... [-]
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. [+]
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 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 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. [+]