课程信息
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第 1 门课程(共 1 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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完成时间大约为21 小时

建议:6 hours/week...

英语(English)

字幕:英语(English), 韩语
User
学习Course的学生是
  • Data Analysts
  • Business Analysts
  • Risk Managers
  • Operations Analysts
  • Pharmacists

您将获得的技能

Regression AnalysisData CleansingPredictive ModellingExploratory Data Analysis
User
学习Course的学生是
  • Data Analysts
  • Business Analysts
  • Risk Managers
  • Operations Analysts
  • Pharmacists

第 1 门课程(共 1 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为21 小时

建议:6 hours/week...

英语(English)

字幕:英语(English), 韩语

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 4 小时

Exploratory Data Analysis and Visualizations

8 个视频 (总计 38 分钟), 1 个阅读材料, 3 个测验
8 个视频
0. Introduction to the Module. Why Exploratory Data Analysis is Important3分钟
1. Data Cleanup and Transformation4分钟
2. Dealing With Missing Values6分钟
3. Dealing with Outliers3分钟
4. Adding and Removing Variables4分钟
5. Common Graphs7分钟
6. What is Good Data Visualization?4分钟
1 个阅读材料
Register for Analytic Solver Platform for Education (ASPE)10分钟
2 个练习
Week 1 Quiz48分钟
Week 1 Application Assignment 1 (optional): Data Cleanup6分钟
2
完成时间为 2 小时

Predicting a Continuous Variable

8 个视频 (总计 41 分钟), 2 个测验
8 个视频
1. Introduction to Linear Regression8分钟
2. Assessing Predictive Accuracy Using Cross-Validation5分钟
3. Multiple Regression4分钟
4. Improving Model Fit3分钟
5. Model Selection3分钟
6. Challenges of Predictive Modeling5分钟
7. How to Build a Model using XLMiner8分钟
2 个练习
Week 2 Quiz18分钟
Week 2 Application Assignment40分钟
3
完成时间为 1 小时

Predicting a Binary Outcome

8 个视频 (总计 33 分钟), 2 个测验
8 个视频
1. Introduction to Logistic Regression4分钟
2. Building Logistic Regression Model6分钟
3. Multiple Logistic Regression3分钟
4. Cross Validation and Confusion Matrix5分钟
5. Cost Sensitive Classification2分钟
6. Comparing Models Independent of Costs and Cutoffs3分钟
7. Building Logistic Regression Models using XLMiner6分钟
2 个练习
Week 3 Quiz14分钟
Week 3 Application Assignment26分钟
4
完成时间为 4 小时

Trees and Other Predictive Models

8 个视频 (总计 32 分钟), 4 个测验
8 个视频
1. Introduction to Trees2分钟
2. Classification Trees5分钟
3. Regression Trees2分钟
4. Bagging, Boosting, Random Forest4分钟
5. Building Trees with XLMiner5分钟
6. Neural Networks5分钟
7. Building Neural Networks using XLMiner4分钟
3 个练习
Week 4 Quiz12分钟
Week 4 Application Assignment10分钟
Final Course Assignment Quiz40分钟
3.8
66 个审阅Chevron Right

来自Predictive Modeling and Analytics 的热门评论

创建者 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.

创建者 AAAug 12th 2019

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

讲师

Avatar

Dan Zhang

Professor
Leeds School of Business

关于 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....

关于 Advanced Business Analytics 专项课程

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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