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.
The MSc in Statistics allows students to learn about the statistics applicable to the social sciences, econometrics and finance. The program prepares students for careers in industries that demand statistical skills.
In all, there are over 4000 Higher Education Institutions in Europe offering a wide range of courses at Bachelor, Masters and Doctorate level. With more and more of these organizations offering English as the language of education for at least some of their degree programs, universities in Europe are now of higher quality than ever before. Universities in Europe offer a friendly welcome to foreign students and to give a course of knowledge that meets their profession needs in today’s global demand.
Course Online in Statistics in Europe
Our Introduction to Statistics course, one of the online courses offered through the MSc Epidemiology program developed by the UMC Utrecht and Utrecht University, will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables. [+]
Our Introduction to Statistics course, one of the online medical courses offered through the MSc Epidemiology program developed by the UMC Utrecht and Utrecht University, will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables. The aim of the course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses. In order to achieve this aim, you will be tested on your statistical knowledge at the start of the course. The results will give you an insight into your own statistical strengths and weaknesses, enabling us to provide you with specific advice on how best to participate in the course. Introduction to Statistics is part of MSc Epidemiology Postgraduate Online; the online MSc program in Epidemiology offered by Utrecht University, University Medical Center Utrecht, MSc Epidemiology and Elevate Health... [-]
The online CPD Accredited Level 2 Microsoft Excel 2016 – Introductory Course will provide learners with an insight into how to effectively work with the popular spreadsheet software – Microsoft Excel. [+]
Apply Now for Summer 2017
The online CPD Accredited Level 2 Microsoft Excel 2016 – Introductory Course will provide learners with an insight into how to effectively work with the popular spreadsheet software – Microsoft Excel. Whether your new to this software, or want to brush up on your skills in the latest version of this software, this Microsoft Excel 2016 – Introductory Course covers all the important aspects for you to know more. Whether you are currently working in a role that requires you to work with this software, or you just want to add this course on your CV, you can get started instantly and start learning all the important aspects about spreadsheet software.Course Highlights Price: Only £14.00 Was £149.99 Course Type: Online Course Duration: 40 hours, recommended hours Syllabus: 20-course modules Tutor Support: Full tutor support included Exams: Yes, exam fees are included. Start learning: you can start your online learning 24/7 and study towards your goals. Fine Print Qualification: Level 2 CPD Award Certificate: PDF Certificate included with course, optional Hard Copies £9.99. Access: Unlimited 24/7 access for 12 months, option to extend if needed. Compatibility: Desktop, Mac, Laptop, Tablets, Smartphone and Smart Devices ... [-]
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. [+]
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 increase 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? ... [-]
Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. [+]
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 ... [-]