Acerca de este Curso
4.7
116 calificaciones
25 revisiones

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 9 horas para completar

Sugerido: 5-10 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Model SelectionBayesian StatisticsStatistical AnalysisR 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.

Aprox. 9 horas para completar

Sugerido: 5-10 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

About the Capstone Project

Welcome to the capstone project! This week's content is an introduction to the project assignment and goals. The readings in this week will introduce the data set that you will be analyzing for your project and the specific questions you will answer using data analysis techniques we learned in the previous courses. It is important to understand what we will be doing in the course before jumping into the detailed analysis. So we encourage you to start with the first lecture to get the big picture, and then delve into the specifics of the analysis. Enjoy, and good luck! Remember, if you have questions, you can post them on the discussion forums....
1 video (Total 6 minutos), 4 readings
4 lecturas
Introduction to the Capstone Course10m
Tips for Success and Suggested Work Pace10m
What to Do This Week5m
Learning Objectives for Courses 1-410m
Semana
2
1 hora para completar

Exploratory Data Analysis (EDA)

This week you will work on conducting an exploratory analysis of the housing data. Exploratory analysis is an essential first step for familiarizing yourself with and understanding the data. In this week, you will complete a quiz which will guide you through certain important aspects of the data. The insights you gain through this assignment will help inform modeling in the future quizzes and peer assessments. Feel free to post questions about this assignment on the discussion forum. ...
2 readings, 1 quiz
2 lecturas
What to Do This Week10m
EDA Quiz - Assignment Guide10m
1 ejercicio de práctica
EDA Quiz28m
Semana
3
5 minutos para completar

EDA and Basic Model Selection - Submission

This week we will dig deeper into our exploratory data analysis of the data. We now have all the information and data necessary to perform a deep dive into the EDA and it is time start your initial analysis report! We encourage you to start your analysis report (presented in peer-review format next week) early so you will have enough time to complete it. You will conduct exploratory data analysis, model selection, and model evaluation, and then complete a written report which answers several questions which will guide you through the process. This report will be your first peer-review assignment in this course. ...
1 reading
1 lectura
What to Do This Week5m
Semana
4
2 horas para completar

EDA and Basic Model Selection - Evaluation

Great work so far! We hope you will also learn as much from evaluating your peers' work as completing your own assignment. Happy learning!...
1 reading, 1 quiz
1 lectura
What to Do This Week10m
Semana
5
1 hora para completar

Model Selection and Diagnostics

We are half way through the course! In this week, you will continue model selection and model diagnostics, which will serve a starting point for your final project. You will be assessed on your work through a quiz. If you have any questions so far, don't hesitate to post on the forum so that others can help and discuss the question together....
2 readings, 1 quiz
2 lecturas
What to Do This Week10m
Model Selection and Diagnostics Quiz - Assignment Guide10m
1 ejercicio de práctica
Model Selection and Diagnostics Quiz24m
Semana
6
1 hora para completar

Out of Sample Prediction

In this week, you will gain experience using your model to perform out-of-sample prediction and validation. The skills honed this week will guide you through your final analysis in the weeks to come. Please feel free to go back to prior weeks and review the necessary background knowledge. ...
2 readings, 1 quiz
2 lecturas
What do Do This Week10m
Out of Sample Prediction Quiz - Assignment Guide10m
1 ejercicio de práctica
Out of Sample Prediction Quiz14m
Semana
7
5 minutos para completar

Final Data Analysis - Submission

In the next two weeks, you will complete your final data analysis project. You will submit your answers using the Final Data Analysis peer review assignment link in Week 8....
1 reading
1 lectura
What to Do This Week5m
Semana
8
2 horas para completar

Final Data Analysis - Evaluation

Congratulations on making through to the final week of the course! In this week, we will finish this data analysis project by completing the evaluation of three of your peers' assignments. ...
1 reading, 1 quiz
1 lectura
What to Do This Week10m
4.7
25 revisionesChevron Right

20%

comenzó una nueva carrera después de completar estos cursos

25%

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

Principales revisiones

por JNMar 24th 2017

I think this is a very advisable course as a whole, The capstone offers a good occasion to put into practice what has been learned during the four previous courses and also works as a sort of review.

por ACJul 13th 2017

Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item. I feel much more comfortable with R and statistics principles.

Instructores

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Merlise A Clyde

Professor
Department of Statistical Science
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Colin Rundel

Assistant Professor of the Practice
Statistical Science
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David Banks

Professor of the Practice
Statistical Science
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Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

Acerca de Universidad Duke

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

Acerca del programa especializado Statistics with R

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions....
Statistics with R

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.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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