課程信息
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第 2 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為21 小時

建議:5 hours/week...

英語(English)

字幕:英語(English), 韓語

您將獲得的技能

Regression AnalysisData CleansingPredictive ModellingExploratory Data Analysis

第 2 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為21 小時

建議:5 hours/week...

英語(English)

字幕:英語(English), 韓語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

Exploratory Data Analysis and Visualizations

8 個視頻 (總計 38 分鐘), 1 個閱讀材料, 3 個測驗
8 個視頻
2. Dealing With Missing Values6分鐘
3. Dealing with Outliers3分鐘
4. Adding and Removing Variables4分鐘
5. Common Graphs7分鐘
6. What is Good Data Visualization?4分鐘
1 個閱讀材料
Register for Analytic Solver Platform for Education (ASPE)10分鐘
2 個練習
Week 1 Quiz48分鐘
Week 1 Application Assignment 1 (optional): Data Cleanup6分鐘
2
完成時間為 2 小時

Predicting a Continuous Variable

8 個視頻 (總計 41 分鐘), 2 個測驗
8 個視頻
3. Multiple Regression4分鐘
4. Improving Model Fit3分鐘
5. Model Selection3分鐘
6. Challenges of Predictive Modeling5分鐘
7. How to Build a Model using XLMiner8分鐘
2 個練習
Week 2 Quiz18分鐘
Week 2 Application Assignment40分鐘
3
完成時間為 1 小時

Predicting a Binary Outcome

8 個視頻 (總計 33 分鐘), 2 個測驗
8 個視頻
3. Multiple Logistic Regression3分鐘
4. Cross Validation and Confusion Matrix5分鐘
5. Cost Sensitive Classification2分鐘
6. Comparing Models Independent of Costs and Cutoffs3分鐘
7. Building Logistic Regression Models using XLMiner6分鐘
2 個練習
Week 3 Quiz14分鐘
Week 3 Application Assignment26分鐘
4
完成時間為 4 小時

Trees and Other Predictive Models

8 個視頻 (總計 32 分鐘), 4 個測驗
8 個視頻
3. Regression Trees2分鐘
4. Bagging, Boosting, Random Forest4分鐘
5. Building Trees with XLMiner5分鐘
6. Neural Networks5分鐘
7. Building Neural Networks using XLMiner4分鐘
3 個練習
Week 4 Quiz12分鐘
Week 4 Application Assignment10分鐘
Final Course Assignment Quiz40分鐘
3.8
64 個審閱Chevron Right

來自Predictive Modeling and Analytics 的熱門評論

創建者 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.

創建者 AAAug 12th 2019

Got to many techniques like boosting, bagging, Neural networks, regression tress etc.. Useful and informative course

講師

Avatar

Dan Zhang

Professor
Leeds School of Business

關於 科罗拉多大学波德分校

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....

關於 Advanced Business Analytics 專項課程

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

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