Informações sobre o curso

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Prazos flexíveis
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Aprox. 10 horas para completar
Inglês
Legendas: Inglês, Coreano

Habilidades que você terá

Regression AnalysisData CleansingPredictive ModellingExploratory Data Analysis
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 10 horas para completar
Inglês
Legendas: Inglês, Coreano

Instrutores

oferecido por

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Universidade do Colorado em Boulder

Programa - O que você aprenderá com este curso

Classificação do conteúdoThumbs Up58%(1,084 classificações)Info
Semana
1

Semana 1

4 horas para concluir

Exploratory Data Analysis and Visualizations

4 horas para concluir
8 vídeos (Total 38 mín.), 1 leitura, 3 testes
8 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
1 leituras
Register for Analytic Solver Platform for Education (ASPE)10min
2 exercícios práticos
Week 1 Quiz48min
Week 1 Application Assignment 1 (optional): Data Cleanup6min
Semana
2

Semana 2

2 horas para concluir

Predicting a Continuous Variable

2 horas para concluir
8 vídeos (Total 41 mín.)
8 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
2 exercícios práticos
Week 2 Quiz18min
Week 2 Application Assignment40min
Semana
3

Semana 3

1 hora para concluir

Predicting a Binary Outcome

1 hora para concluir
8 vídeos (Total 33 mín.)
8 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
2 exercícios práticos
Week 3 Quiz14min
Week 3 Application Assignment26min
Semana
4

Semana 4

4 horas para concluir

Trees and Other Predictive Models

4 horas para concluir
8 vídeos (Total 32 mín.)
8 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
3 exercícios práticos
Week 4 Quiz12min
Week 4 Application Assignment10min
Final Course Assignment Quiz40min

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Perguntas Frequentes – FAQ

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    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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