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.
Este curso forma parte de Programa Especializado - Biostatistics in Public Health
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Programa Especializado - Biostatistics in Public Health Universidad Johns HopkinsAcerca de este Curso
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Resultados profesionales del estudiante
10%
comenzó una nueva carrera después de completar estos cursos
17%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Habilidades que obtendrás
StatisticsNormal Distributionsummary measuresbinary data
Resultados profesionales del estudiante
10%
comenzó una nueva carrera después de completar estos cursos
17%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Aprox. 14 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
1 hora para completar
The Role of Statistics in Public Health Research
Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
1 hora para completar
6 videos (Total 64 minutos)
4 horas para completar
Continuous Data Measures
Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.
4 horas para completar
6 videos (Total 88 minutos)
3 horas para completar
The Normal Distribution
The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.
3 horas para completar
5 videos (Total 75 minutos)
3 horas para completar
Binary Data
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
3 horas para completar
6 videos (Total 78 minutos)
2 horas para completar
Dealing with the Element of Time
In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project.
2 horas para completar
6 videos (Total 85 minutos)
2 horas para completar
Course Project
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.
2 horas para completar
1 lectura
Reseñas
Principales reseñas sobre SUMMARY STATISTICS IN PUBLIC HEALTH
por AA10 de ene. de 2021
This is a good and enticing introduction for the rest of the Coursera Specialization where it belongs. For added value, consider taking this course with a biostatistics textbook for better retention.
por EC22 de sep. de 2020
I found this course really useful. It actually made you do work and it wasn't necessarily easy to pass the end of module content, which I feel made the course so much more valuable. Highly recommend.
por AB23 de abr. de 2020
I am glad to learn a lot of terms in statistics and how to use and interpret them in the context of Public Health researches. The Instructor provided enough examples to understand the lessons better.
por DS11 de may. de 2020
Excellent explanations and interesting quizzes. I really enjoyed the final project. There was some echo throughout the lectures which was somewhat distracting, but that's minor. Thank you very much!
Acerca de Programa especializado: Biostatistics in Public Health
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.
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