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学生对 莱顿大学 提供的 Population Health: Responsible Data Analysis 的评价和反馈

30 个评分


In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. First, you will learn how to obtain, safely gather, clean and explore data. Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical methods are needed to make claims about the whole population of interest. You will discover how statistical inference, hypothesis testing and regression techniques will help you to make the connection between samples and populations. A final important aspect is interpreting and reporting. How can we transform information into knowledge? How can we separate trustworthy information from noise? In the last part of the course, we will cover the critical assessment of the results, and we will discuss challenges and dangers of data analysis in the era of big data and massive amounts of information.  In this course, we will emphasize the concepts and we will also teach you how to effectively perform your analysis using R. You do not need to install R on your computer to follow the course, you will be able to access R and all the example data sets within the Coursera environment. This course will become part of the to-be-developed Leiden University master program Population Health Management. If you wish to find out more about this program see the last reading of this Course!...



Sep 27, 2019

To research and review the data Population Health: Responsible Data Analysis is mostly perfect to me as a humanitarian.


Oct 6, 2019

Had much fun during this course. Hope more programmes like this in future are offered for free.


1 - Population Health: Responsible Data Analysis 的 8 个评论(共 8 个)

创建者 Enrique A P M

Nov 17, 2021

创建者 Tofail A

Sep 27, 2019

创建者 Ane M L

Nov 12, 2019

创建者 George A

Oct 7, 2019

创建者 Jefferson E

May 5, 2021

创建者 María d J A S

Jul 23, 2020

创建者 Cesar M G G

Sep 28, 2022

创建者 Mallikarjun

May 17, 2020