Acerca de este Curso

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Resultados profesionales del estudiante

40%

comenzó una nueva carrera después de completar estos cursos

27%

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

11%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
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. 17 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Habilidades que obtendrás

Log–Log PlotInteraction (Statistics)Linear RegressionRegression Analysis

Resultados profesionales del estudiante

40%

comenzó una nueva carrera después de completar estos cursos

27%

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

11%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
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. 17 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Instructor

ofrecido por

Logotipo de Universidad Rice

Universidad Rice

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up98%(2,543 calificaciones)Info
Semana
1

Semana 1

5 horas para completar

Regression Analysis: An Introduction

5 horas para completar
7 videos (Total 65 minutos), 13 lecturas, 7 cuestionarios
7 videos
Introducing Linear Regression: Building a Model8m
Introducing Linear Regression: Estimating the Model10m
Introducing Linear Regression: Interpreting the Model12m
Introducing Linear Regression: Predictions using the Model9m
Errors, Residuals and R-square14m
Normality Assumption on the Errors7m
13 lecturas
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
7 ejercicios de práctica
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: An Introduction1h
Semana
2

Semana 2

5 horas para completar

Regression Analysis: Hypothesis Testing and Goodness of Fit

5 horas para completar
6 videos (Total 74 minutos), 15 lecturas, 7 cuestionarios
6 videos
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
15 lecturas
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
7 ejercicios de práctica
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Hypothesis Testing and Goodness of Fit1h
Semana
3

Semana 3

4 horas para completar

Regression Analysis: Dummy Variables, Multicollinearity

4 horas para completar
6 videos (Total 62 minutos), 12 lecturas, 7 cuestionarios
6 videos
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
12 lecturas
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
7 ejercicios de práctica
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Model Application and Multicollinearity20m
Semana
4

Semana 4

4 horas para completar

Regression Analysis: Various Extensions

4 horas para completar
7 videos (Total 63 minutos), 11 lecturas, 7 cuestionarios
7 videos
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
11 lecturas
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
7 ejercicios de práctica
Practice Quiz6m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz6m
Practice Quiz6m
Regression Analysis: Various Extensions22m

Revisiones

Principales revisiones sobre LINEAR REGRESSION FOR BUSINESS STATISTICS

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Acerca de Programa especializado: Business Statistics and Analysis

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

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