Acerca de este Curso

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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.
Nivel intermedio
Aprox. 25 horas para completar
Inglés (English)

Instructor

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.
Nivel intermedio
Aprox. 25 horas para completar
Inglés (English)

ofrecido por

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Universidad de Illinois en Urbana-Champaign

Comienza a trabajar para obtener tu maestría

This curso is part of the 100% online Master of Science in Accountancy (iMSA) from Universidad de Illinois en Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

8 horas para completar

Module 0: Get Ready & Module 1: Introduction to Analytics and Evolution of Statistical Inference

8 horas para completar
14 videos (Total 93 minutos), 11 lecturas, 3 cuestionarios
14 videos
Rattle Installation Guidelines for Windows11m
R and Rattle Installation Instructions for Mac OS14m
Overview of Rattle 7m
Lecture 1-1: Introduction to Analytics and Evolution of Statistical Inference3m
Lecture 1-2: From Data to Decisions9m
Lecture 1-3: The Evolution of Intelligent Machines3m
Lecture 1-4: Common Paradigms6m
Lecture 1-5-1: Examples of Paradigms – Part 14m
Lecture 1-5-2: Examples of Paradigms – Part 27m
Lecture 1-6: Introduction to Rattle4m
Lecture 1-7: Importing Datasets in Rattle8m
Lecture 1-8: Plotting Data and Creating Graphs in Rattle7m
Lecture 1-9: Rattle Practice and Summary3m
11 lecturas
Syllabus30m
About the Discussion Forums10m
Glossary30m
Brand Descriptions30m
Update Your Profile10m
Module 0 Agenda5m
Rattle Tutorials (Interface, Windows, Mac)30m
Frequent Asked Questions10m
Module 1 Overview20m
Module 1 Readings, Data Sets, and Slides1h
Module 1 Peer Review Assignment Answer Key20m
2 ejercicios de práctica
Orientation Quiz30m
Module 1 Graded Quiz30m
Semana
2

Semana 2

6 horas para completar

Module 2: Dating with Data

6 horas para completar
8 videos (Total 63 minutos), 3 lecturas, 3 cuestionarios
8 videos
Lecture 2-2: Developing and Estimating a Model3m
Lecture 2-3: Univariate and Bivariate Plots8m
Lecture 2-4: Bivariate Correlation5m
Lecture 2-5-1: Estimating With Simple Models - Part 18m
Lecture 2-5-2: Estimating With Simple Models - Part 210m
Lecture 2-6: Improving the Model12m
Lecture 2-7: Model Improvement Practice and Summary8m
3 lecturas
Module 2 Overview20m
Module 2 Readings, Data Sets, and Slides1h
Module 2 Peer Review Assignment Answer Key20m
2 ejercicios de práctica
Module 2 Practice Problems40m
Module 2 Graded Quiz30m
Semana
3

Semana 3

6 horas para completar

Module 3: Model Development and Testing with Holdout Data

6 horas para completar
8 videos (Total 66 minutos), 3 lecturas, 4 cuestionarios
8 videos
Lecture 3-2: Introducing Root Mean Square Error14m
Lecture 3-3: Variable Selection8m
Lecture 3-4: Variable Selection with R Scripts8m
Lecture 3-5: Introduction to Mallow's CP6m
Lecture 3-6-1: Modeling Example – Part 18m
Lecture 3-6-2: Modeling Example – Part 29m
Lecture 3-7: Example Wrap-Up and Summary6m
3 lecturas
Module 3 Overview20m
Module 3 Readings, Data Sets, and Slides1h
Module 3 Peer Review Assignment Answer Key20m
3 ejercicios de práctica
Module 3 Practice Problems (A)40m
Module 3 Practice Problems (B)20m
Module 3 Graded Quiz30m
Semana
4

Semana 4

5 horas para completar

Module 4: Curse of Dimensionality

5 horas para completar
7 videos (Total 67 minutos), 3 lecturas, 3 cuestionarios
7 videos
Lecture 4-2: Curse of Dimensionality9m
Lecture 4-3: Limitations of Scatterplots10m
Lecture 4-4: Principle Component Analysis10m
Lecture 4-5: Principle Component Analysis in Rattle9m
Lecture 4-6: Principle Component Analysis in Rattle With Regression10m
Lecture 4-7: Principle Component Analysis Exercise and Summary8m
3 lecturas
Module 4 Overview20m
Module 4 Readings, Data Sets, and Slides1h
Module 4 Peer Review Assignment Answer Key20m
2 ejercicios de práctica
Module 4 Practice Problems
Module 4 Graded Quiz30m

Reseñas

Principales reseñas sobre DATA MODELING AND REGRESSION ANALYSIS IN BUSINESS

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Preguntas Frecuentes

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