About this Course
4.8
415개의 평가
65개의 리뷰
전문분야
100% 온라인

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유연한 마감

유연한 마감

일정에 따라 마감일을 재설정합니다.
Hours to complete

완료하는 데 약 13시간 필요

권장: 4 weeks of study...
사용 가능한 언어

영어

자막: 영어

귀하가 습득할 기술

Log–Log PlotInteraction (Statistics)Linear RegressionRegression Analysis
전문분야
100% 온라인

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유연한 마감

유연한 마감

일정에 따라 마감일을 재설정합니다.
Hours to complete

완료하는 데 약 13시간 필요

권장: 4 weeks of study...
사용 가능한 언어

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
Hours to complete
완료하는 데 5시간 필요

Regression Analysis: An Introduction

...
Reading
7 videos (Total 65 min), 13 readings, 7 quizzes
Video7개의 동영상
Introducing Linear Regression: Building a Model8m
Introducing Linear Regression: Estimating the Model10m
Introducing Linear Regression: Estimating the Model12m
Introducing Linear Regression: Predictions using the Model9m
Errors, Residuals and R-square14m
Normality Assumption on the Errors7m
Reading13개의 읽기 자료
Course FAQs10m
Pre-Course Survey10m
Toy Sales.xlsx10m
Slides, Lesson 110m
Toy Sales.xlsx10m
Slides, Lesson 210m
Toy Sales.xlsx10m
Slides, Lesson 310m
Toy Sales.xlsx10m
Slides, Lesson 410m
Toy Sales2.xlsx10m
Slides, Lesson 510m
Slides, Lesson 610m
Quiz7개 연습문제
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: An Introduction
2
Hours to complete
완료하는 데 5시간 필요

Regression Analysis: Hypothesis Testing and Goodness of Fit

...
Reading
6 videos (Total 74 min), 15 readings, 7 quizzes
Video6개의 동영상
Hypothesis Testing in a Linear Regression: using 'p-values'7m
Hypothesis Testing in a Linear Regression: Confidence Intervals9m
A Regression Application Using Housing Data15m
'Goodness of Fit' measures: R-square and Adjusted R-square11m
Categorical Variables in a Regression: Dummy Variables18m
Reading15개의 읽기 자료
Toy Sales.xlsx10m
Toy Sales (with regression).xlsx10m
Toy Sales (with regression, t-statistic).xlsx10m
Toy Sales (with regression, t-cutoff)10m
Slides, Lesson 110m
Toy Sales.xlsx10m
Slides, Lesson 210m
Toy Sales.xlsx10m
Slides, Lesson 310m
Home Prices.xlsx10m
Slides, Lesson 410m
Home Prices.xlsx10m
Slides, Lesson 510m
deliveries1.xlsx10m
Slides, Lesson 610m
Quiz7개 연습문제
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Hypothesis Testing and Goodness of Fit
3
Hours to complete
완료하는 데 4시간 필요

Regression Analysis: Dummy Variables, Multicollinearity

...
Reading
6 videos (Total 62 min), 12 readings, 7 quizzes
Video6개의 동영상
Dummy Variable Regression: Interpretation of Coefficients6m
Dummy Variable Regression: Estimation, Interpretation of p-values17m
A Regression Application Using Refrigerator data12m
A Regression Application Using Refrigerator data (continued...)7m
Multicollinearity in Regression Models: What it is and How to Deal with it10m
Reading12개의 읽기 자료
deliveries2.xlsx10m
Slides, Lesson 110m
Slides, Lesson 210m
deliveries2.xlsx10m
deliveries2 (for prediction).xlsx10m
Slides, Lesson 310m
Refrigerators.xlsx10m
Slides, Lesson 410m
Cars.xlsx10m
Slides, Lesson 510m
Cars.xlsx10m
Slides, Lesson 610m
Quiz7개 연습문제
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Model Application and Multicollinearity20m
4
Hours to complete
완료하는 데 4시간 필요

Regression Analysis: Various Extensions

...
Reading
7 videos (Total 63 min), 11 readings, 7 quizzes
Video7개의 동영상
Building Confidence Bounds for Prediction Using a Regression Model9m
Interaction Effects in a Regression: An Introduction6m
Interaction Effects in a Regression: An Application8m
Transformation of Variables in a Regression: Improving Linearity7m
The Log-Log and the Semi-Log Regression Models17m
Course 4 Recap1m
Reading11개의 읽기 자료
Height and Weight.xlsx10m
Slides, Lesson 110m
Height and Weight.xlsx10m
Slides, Lesson 210m
Slides, Lesson 310m
Height and Weight.xlsx10m
Slides, Lesson 410m
Slides, Lesson 510m
Cocoa.xlsx10m
Slides, Lesson 610m
End-of-Course Survey10m
Quiz7개 연습문제
Practice Quiz6m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz6m
Practice Quiz6m
Regression Analysis: Various Extensions22m
4.8
65개의 리뷰Chevron Right
진로

40%

이 강좌를 수료한 후 새로운 경력 시작하기
경력 혜택

33%

이 강좌를 통해 확실한 경력상 이점 얻기
경력 프로모션

14%

급여 인상 또는 승진하기

최상위 리뷰

대학: WBDec 21st 2017

I have found Course 3 and 4 of this specialization to be challenging, but rewarding. It has helped me build confidence that I can do just about anything with data provided to increase positive impact.

대학: MWMay 1st 2018

Well structured course with clear modules and helpful exercises to reinforce the material. Professor Borle does a great job and is very responsive to questions.

강사

Avatar

Sharad Borle

Associate Professor of Management
Jones Graduate School of Business

라이스 대학교 정보

Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy....

Business Statistics and Analysis 전문 분야 정보

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!...
Business Statistics and Analysis

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.

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