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.
Statistics is a kind of mathematics that allows researchers to make sense out of their gathered data. By identifying correlations, summarizing information, and determining the significance of experimental results, statisticians draw reliable conclusions from studies and surveys.
Online Course in Statistics
This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples. [+]
Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.
This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples.
Let’s parse that.
Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analyzing and preparing raw data to visualize your findings.
Data Science, Statistics, and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.... [-]
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 ... [-]
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? ... [-]
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 ... [-]
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... [-]