StatisticsStatistical Hypothesis TestingvariabilityregressionNormal Distributionsummary measuresbinary dataConfidence Intervalp valuessamplingP-ValueProportional Hazards Model
Biostatistics in Public Health 专项课程
Build Statistical Skills for Biological Sciences. Master the tools and methods you need to analyze, interpret, and communicate biostatistical data.
4,915 人已注册！
提供方
您将学到的内容有
Calculate summary statistics from public health and biomedical data
Interpret written and visual presentations of statistical data
Evaluate and interpret results of various regression methods
Choose the most appropriate statistical method to answer your research question
您将获得的技能
关于此 专项课程
39,741 次近期查看
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
应用的学习项目
In each course, learners will assume the role of a biostatistical consultant helping research teams review and interpret the published scientific literature. Throughout the specializations, learners will return to two important studies, one on asthma medication and another on injectable contraception, to answer the researchers' questions about the published statistical methods and results.
100% 在线课程
立即开始，按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
无需相关领域的预备知识无需相关经验。
完成时间大约为4 个月
建议 5 小时/周
英语（English）
字幕：英语（English）
专项课程的运作方式
加入课程
Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习，请直接注册专项课程，或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时，您将自动订阅整个专项课程。您可以只完成一门课程，您可以随时暂停学习或结束订阅。访问您的学生面板，跟踪您的课程注册情况和进度。
实践项目
每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。
获得证书
在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。
此专项课程包含 4 门课程
Summary Statistics in Public Health
378 个评分
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
公共健康领域的假设检验
150 个评分
Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
Simple Regression Analysis in Public Health
84 个评分
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Multiple Regression Analysis in Public Health
54 个评分
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
关于 约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
常见问题
退款政策是如何规定的？
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
有助学金吗？
我可以免费学习课程吗？
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程需要多长时间？
The specialization is structured as four 4-week courses, so it can be completed in as little as 16 weeks. However, you should plan a pace that suits your particular circumstances. None of the assignments require peer evaluation, so you can work at your own pace.
What background knowledge is necessary?
Mathematical ability up through and including basic algebra, including logarithms and the equation of a line
Do I need to take the courses in a specific order?
We strongly recommend taking the course in the order in which they are presented. The courses build on one another.
完成专项课程后我会获得大学学分吗？
Johns Hopkins University does not award academic credit for completion of this specialization or any of its Coursera offerings.
What will I be able to do upon completing the Specialization?
Learners who complete the specialization will be able to perform statistical calculations and interpret data to support research in the field of public health.
还有其他问题吗？请访问 学生帮助中心。