Acerca de este Curso
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100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 36 horas para completar

Sugerido: 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week....

Inglés (English)

Subtítulos: Inglés (English), Alemán (German)

Habilidades que obtendrás

StatisticsConfidence IntervalStatistical Hypothesis TestingR Programming

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 36 horas para completar

Sugerido: 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week....

Inglés (English)

Subtítulos: Inglés (English), Alemán (German)

Programa - Qué aprenderás en este curso

Semana
1
2 horas para completar

Before we get started...

1 videos (Total 4 minutos), 11 lecturas, 1 cuestionario
11 lecturas
Hi there!10m
How to navigate this course10m
How to contribute10m
General info - What will I learn in this course?10m
Course format - How is this course structured?10m
Requirements - What resources do I need?10m
Grading - How do I pass this course?10m
Team - Who created this course?10m
Honor Code - Integrity in this course10m
Useful literature and documents10m
Research on Feedback10m
1 ejercicios de práctica
Use of your data for research2m
5 horas para completar

Exploring Data

8 videos (Total 53 minutos), 5 lecturas, 4 cuestionarios
8 videos
1.02 Data matrix and frequency table6m
1.03 Graphs and shapes of distributions7m
1.04 Mode, median and mean6m
1.05 Range, interquartile range and box plot7m
1.06 Variance and standard deviation5m
1.07 Z-scores4m
1.08 Example6m
5 lecturas
Data and visualisation10m
Measures of central tendency and dispersion10m
Z-scores and example10m
Transcripts - Exploring data10m
About the R labs10m
1 ejercicios de práctica
Exploring Data22m
Semana
2
3 horas para completar

Correlation and Regression

8 videos (Total 49 minutos), 6 lecturas, 2 cuestionarios
8 videos
2.02 Pearson's r7m
2.03 Regression - Finding the line3m
2.04 Regression - Describing the line7m
2.05 Regression - How good is the line?5m
2.06 Correlation is not causation5m
2.07 Example contingency table3m
2.08 Example Pearson's r and regression8m
6 lecturas
Correlation10m
Regression10m
Reference10m
Caveats and examples10m
Reference10m
Transcripts - Correlation and regression10m
1 ejercicios de práctica
Correlation and Regression20m
Semana
3
3 horas para completar

Probability

11 videos (Total 64 minutos), 5 lecturas, 2 cuestionarios
11 videos
3.02 Probability4m
3.03 Sample space, event, probability of event and tree diagram5m
3.04 Quantifying probabilities with tree diagram5m
3.05 Basic set-theoretic concepts5m
3.06 Practice with sets7m
3.07 Union5m
3.08 Joint and marginal probabilities6m
3.09 Conditional probability4m
3.10 Independence between random events5m
3.11 More conditional probability, decision trees and Bayes' Law8m
5 lecturas
Probability & randomness10m
Sample space, events & tree diagrams10m
Probability & sets10m
Conditional probability & independence10m
Transcripts - Probability10m
1 ejercicios de práctica
Probability30m
Semana
4
3 horas para completar

Probability Distributions

8 videos (Total 52 minutos), 5 lecturas, 2 cuestionarios
8 videos
4.02 Cumulative probability distributions5m
4.03 The mean of a random variable4m
4.04 Variance of a random variable6m
4.05 Functional form of the normal distribution6m
4.06 The normal distribution: probability calculations5m
4.07 The standard normal distribution8m
4.08 The binomial distribution8m
5 lecturas
Probability distributions10m
Mean and variance of a random variable10m
The normal distribution10m
The binomial distribution10m
Transcripts - Probability distributions10m
1 ejercicios de práctica
Probability distributions30m
4.7
602 revisionesChevron Right

41%

comenzó una nueva carrera después de completar estos cursos

28%

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

Principales revisiones sobre Basic Statistics

por PGApr 21st 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.\n\nPlease allow us to complete the course as I have to wait till the session starts for week 2 lessions.

por CDMar 6th 2016

This course is really awesome. Designed well. Looks like a lot of efforts have been taken by the team to build this course. Kudos to everyone. Keep up the good work and thank you very much.

Instructores

Avatar

Matthijs Rooduijn

Dr.
Department of Political Science
Avatar

Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

Acerca de Universidad de Ámsterdam

A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 600 million euros, it is one of the largest comprehensive universities in Europe. It is a member of the League of European Research Universities and also maintains intensive contact with other leading research universities around the world....

Acerca de Programa especializado Methods and Statistics in Social Sciences

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods....
Methods and Statistics in Social Sciences

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.

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