Acerca de este Curso
3.6
359 calificaciones
131 revisiones
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 23 horas para completar

Sugerido: 9 weeks, 8-10 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

ExperimentExperimental DesignStatistical ModelR ProgrammingStatistics
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 23 horas para completar

Sugerido: 9 weeks, 8-10 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
1 hora para completar

Basic Experiment Design Concepts

In this module, you will learn basic concepts relevant to the design and analysis of experiments, including mean comparisons, variance, statistical significance, practical significance, sampling, inclusion and exclusion criteria, and informed consent. You’ll also learn to think of an experiment in terms of its participants, apparatus, procedure, and design & analysis. This module covers lecture videos 1-2....
Reading
2 videos (Total 19 minutos), 1 reading, 1 quiz
Video2 videos
02. Basic Experiment Design Concepts8m
Reading1 lectura
All Course Materials10m
Quiz1 ejercicio de práctica
Understanding the Basics16m
Semana
2
Horas para completar
2 horas para completar

Tests of Proportions

In this module, you will learn how to analyze user preferences (or other tallies) using tests of proportions. You will also get up and running with R and RStudio. Topics covered include independent and dependent variables, variable types, exploratory data analysis, p-values, asymptotic tests, exact tests, one-sample tests, two-sample tests, Chi-Square test, G-test, Fisher’s exact test, binomial test, multinomial test, post hoc tests, and pairwise comparisons. This module covers lecture videos 3-9....
Reading
7 videos (Total 41 minutos), 2 quizzes
Video7 videos
04. Getting Started with R and RStudio2m
05. Exploring Data and a First Test of Proportions7m
06. Understanding and Reporting Your First Statistical Test5m
07. Exact Tests, Asymptotic Tests, and the Binomial Test2m
08. More One-Sample Tests of Proportions9m
09. Two-Sample Tests of Proportions11m
Quiz2 ejercicios de práctica
Understanding Tests of Proportions36m
Doing Tests of Proportions30m
Semana
3
Horas para completar
1 hora para completar

The T-Test

In this module, you will learn how to design and analyze a simple website A/B test. Topics include measurement error, independent variables as factors, factor levels, between-subjects factors, within-subjects factors, dependent variables as responses, response types, balanced designs, and how to report a t-test. You will perform your first analysis of variance in the form of an independent-samples t-test. This module covers lecture videos 10-11....
Reading
2 videos (Total 25 minutos), 2 quizzes
Video2 videos
11. Analyzing a Simple A/B Test with a T-Test10m
Quiz2 ejercicios de práctica
Understanding Experiment Designs20m
Doing Independent-Samples T-Tests30m
Semana
4
Horas para completar
2 horas para completar

Validity in Design and Analysis

In this module, you will learn about how to ensure that your data is valid through the design of experiments, and that your analyses are valid by understanding and testing for their assumptions. Topics include how to achieve experimental control, confounds, ecological validity, the three assumptions of ANOVA, data distributions, residuals, normality, homoscedasticity, parametric versus nonparametric tests, the Shapiro-Wilk test, the Kolmogorov-Smirnov test, Levene’s test, the Brown-Forsythe test, and the Mann-Whitney U test. This module covers lecture videos 12-15....
Reading
4 videos (Total 41 minutos), 2 quizzes
Video4 videos
13. Data Assumptions and Distributions14m
14. Testing for ANOVA Assumptions9m
15. Mann-Whitney, a Nonparametric T-Test2m
Quiz2 ejercicios de práctica
Understanding Validity24m
Doing Tests of Assumptions30m
3.6
131 revisionesChevron Right
Dirección de la carrera

29%

comenzó una nueva carrera después de completar estos cursos
Beneficio de la carrera

26%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones

por DSJun 4th 2017

This was really useful. The course was well structured and provided excellent real-life examples that are easily transferrable to other scenarios. Keep it up!

por ZWJul 26th 2017

Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it

Instructores

Avatar

Scott Klemmer

Professor
Cognitive Science & Computer Science
Avatar

Jacob O. Wobbrock

Professor
The Information School

Acerca de University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Acerca del programa especializado Interaction Design

You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design....
Interaction Design

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.