課程信息
17,967

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

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 ...
8 個視頻 (總計 38 分鐘), 1 個閱讀材料, 3 個測驗
8 個視頻
0. Introduction to the Module. Why Exploratory Data Analysis is Important3分鐘
1. Data Cleanup and Transformation4分鐘
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

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....
8 個視頻 (總計 41 分鐘), 2 個測驗
8 個視頻
1. Introduction to Linear Regression8分鐘
2. Assessing Predictive Accuracy Using Cross-Validation5分鐘
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

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....
8 個視頻 (總計 33 分鐘), 2 個測驗
8 個視頻
1. Introduction to Logistic Regression4分鐘
2. Building Logistic Regression Model6分鐘
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

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....
8 個視頻 (總計 32 分鐘), 4 個測驗
8 個視頻
1. Introduction to Trees2分鐘
2. Classification Trees5分鐘
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
57 個審閱Chevron Right

熱門審閱

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 GDDec 12th 2016

There were some instructions in the quizzes hard to understand with no additional explanation in case of error.

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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