Informações sobre o curso
3.8
156 classificações
49 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 21 horas para completar

Sugerido: 5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês, Coreano...

Habilidades que você terá

Regression AnalysisData CleansingPredictive ModellingExploratory Data Analysis
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 21 horas para completar

Sugerido: 5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês, Coreano...

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
4 horas para concluir

Exploratory Data Analysis and Visualizations

At the end of this module students will be able to: 1. Carry out exploratory data analysis to gain insights and prepare data for predictive modeling 2. Summarize and visualize datasets using appropriate tools 3. Identify modeling techniques for prediction of continuous and discrete outcomes. 4. Explore datasets using Excel 5. Explain and perform several common data preprocessing steps 6. Choose appropriate graphs to explore and display datasets ...
Reading
8 vídeos (Total de 38 min), 1 leitura, 3 testes
Video8 videos
0. Introduction to the Module. Why Exploratory Data Analysis is Important3min
1. Data Cleanup and Transformation4min
2. Dealing With Missing Values6min
3. Dealing with Outliers3min
4. Adding and Removing Variables4min
5. Common Graphs7min
6. What is Good Data Visualization?4min
Reading1 leituras
Register for Analytic Solver Platform for Education (ASPE)10min
Quiz2 exercícios práticos
Week 1 Quiz48min
Week 1 Application Assignment 1 (optional): Data Cleanup6min
Semana
2
Horas para completar
2 horas para concluir

Predicting a Continuous Variable

This module introduces regression techniques to predict the value of continuous variables. Some fundamental concepts of predictive modeling are covered, including cross-validation, model selection, and overfitting. You will also learn how to build predictive models using the software tool XLMiner....
Reading
8 vídeos (Total de 41 min), 2 testes
Video8 videos
1. Introduction to Linear Regression8min
2. Assessing Predictive Accuracy Using Cross-Validation5min
3. Multiple Regression4min
4. Improving Model Fit3min
5. Model Selection3min
6. Challenges of Predictive Modeling5min
7. How to Build a Model using XLMiner8min
Quiz2 exercícios práticos
Week 2 Quiz18min
Week 2 Application Assignment40min
Semana
3
Horas para completar
1 hora para concluir

Predicting a Binary Outcome

This module introduces logistic regression models to predict the value of binary variables. Unlike continuous variables, a binary variable can only take two different values and predicting its value is commonly called classification. Several important concepts regarding classification are discussed, including cross validation and confusion matrix, cost sensitive classification, and ROC curves. You will also learn how to build classification models using the software tool XLMiner....
Reading
8 vídeos (Total de 33 min), 2 testes
Video8 videos
1. Introduction to Logistic Regression4min
2. Building Logistic Regression Model6min
3. Multiple Logistic Regression3min
4. Cross Validation and Confusion Matrix5min
5. Cost Sensitive Classification2min
6. Comparing Models Independent of Costs and Cutoffs3min
7. Building Logistic Regression Models using XLMiner6min
Quiz2 exercícios práticos
Week 3 Quiz14min
Week 3 Application Assignment26min
Semana
4
Horas para completar
4 horas para concluir

Trees and Other Predictive Models

This module introduces more advanced predictive models, including trees and neural networks. Both trees and neural networks can be used to predict continuous or binary variables. You will also learn how to build trees and neural networks using the software tool XLMiner....
Reading
8 vídeos (Total de 32 min), 4 testes
Video8 videos
1. Introduction to Trees2min
2. Classification Trees5min
3. Regression Trees2min
4. Bagging, Boosting, Random Forest4min
5. Building Trees with XLMiner5min
6. Neural Networks5min
7. Building Neural Networks using XLMiner4min
Quiz3 exercícios práticos
Week 4 Quiz12min
Week 4 Application Assignment10min
Final Course Assignment Quiz40min
3.8
49 avaliaçõesChevron Right

Melhores avaliações

por HANov 20th 2017

this course teach you about the technical of using tools for predictive modeling. very useful for you who want to learn the fundamental of analytics.

por SKFeb 16th 2017

Its an excellent course and thanks to Professor for making this course so practice oriented.

Instrutores

Avatar

Dan Zhang

Professor
Leeds School of Business

Sobre University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

Sobre o Programa de cursos integrados Advanced Business Analytics

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!...
Advanced Business Analytics

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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