About this Course
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 9시간 필요

권장: 5-10 hours/week...

영어

자막: 영어

귀하가 습득할 기술

Model SelectionBayesian StatisticsStatistical AnalysisR Programming

다음의 5/5개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 9시간 필요

권장: 5-10 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

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 min), 4 readings
4개의 읽기 자료
Introduction to the Capstone Course10m
Tips for Success and Suggested Work Pace10m
What to Do This Week5m
Learning Objectives for Courses 1-410m
2
완료하는 데 1시간 필요

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
2개의 읽기 자료
What to Do This Week10m
EDA Quiz - Assignment Guide10m
1개 연습문제
EDA Quiz28m
3
완료하는 데 5분 필요

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
1개의 읽기 자료
What to Do This Week5m
4
완료하는 데 2시간 필요

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
1개의 읽기 자료
What to Do This Week10m
5
완료하는 데 1시간 필요

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
2개의 읽기 자료
What to Do This Week10m
Model Selection and Diagnostics Quiz - Assignment Guide10m
1개 연습문제
Model Selection and Diagnostics Quiz24m
6
완료하는 데 1시간 필요

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
2개의 읽기 자료
What do Do This Week10m
Out of Sample Prediction Quiz - Assignment Guide10m
1개 연습문제
Out of Sample Prediction Quiz14m
7
완료하는 데 5분 필요

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
1개의 읽기 자료
What to Do This Week5m
8
완료하는 데 2시간 필요

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
1개의 읽기 자료
What to Do This Week10m
4.7
25개의 리뷰Chevron Right

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최상위 리뷰

대학: 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.

대학: 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.

강사

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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

듀크대학교 정보

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....

Statistics with R 전문 분야 정보

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

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

  • 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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