Statistics: Unlocking the World of Data

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课程
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英语
32 时
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  • 来自www.edx.org
更多信息
  • 8 序列
  • 等级 介绍
  • 从9 一月 2023开始
  • 以27 三月 2023结束

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课程详情

教学大纲

Week 1: Introducing Data
What is statistics? We begin the course with this question, and see how data lies at the heart of statistics. We look at common techniques for presenting and summarising data.

Week 2: Patterns in Data
We look further into the science of data analysis, focusing on finding and interpreting relationships between different data sets, and on using trends in data to make predictions.

Week 3: Collecting Data
We look at key methods of data collection, seeing how we generally use samples of a population to make predictions about the whole population. We learn about how to choose a representative sample, and how to set up a statistical experiment.

Week 4: Uncertainty in Data
Using samples to make predictions about a population brings uncertainty into our data. As the study of risk and uncertainty, probability is therefore key to understanding statistics. We introduce the ideas here for describing and quantifying uncertainty via probabilities.

Week 5: Distribution
We look again at probability and describe a range of common situations that lead to standard forms for describing the associated probability of different possible outcomes. The ability to describe such probabilities provides the basis for building up the knowledge and understanding needed to study deeper statistical methods.

Week 6: Estimation
We will build on the idea of estimating properties of a population using sample data. Further, as the answer that we provide is only an estimate of the (unknown) true value, we will also describe how we may construct an associated uncertainty interval for the parameter being estimated, using properties of the sampling distribution.

We introduce the testing method that is fundamental to all of science: the hypothesis test. We learn how to set up and perform a hypothesis test, and look at how such tests are used in scientific research.

Week 7: Statistical Testing
We introduce the concepts of the testing method that is fundamental to all of science: the hypothesis test. We learn how to set up and perform simple hypothesis tests.

Week 8: Further Statistical Testing
We build on the ideas of the hypothesis test and look at further tests that are commonly used in scientific research.

先决条件

Secondary school mathematics (GCSE/Standard Grade/National 5 grade C or above in Mathematics, or equivalent)

讲师

Mairi Walker
Mathematics Engagement Officer for the year 2016/17
The University of Edinburgh

Ruth King
Thomas Bayes’ Chair of Statistics
The University of Edinburgh

Chris Sangwin
Professor of Technology Enhanced Science Education
The University of Edinburgh

Bruce Worton
Lecturer in Statistics
University of Edinburgh

Francesca Iezzi
Mathematics Engagement Officer
University of Edinburgh

编辑

爱丁堡大学(University of Edinburgh)是一所英国大学,成立于 1583 年爱丁堡市快速发展时期。它被认为是世界上最负盛名的大学之一。

爱丁堡大学的学生中不乏工业革命的发明家,学生人数超过苏格兰任何一所大学,是英国最大的大学之一。

平台

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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