About this Course

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Approx. 11 hours to complete
English

Skills you will gain

Regression AnalysisData CleansingPredictive ModellingExploratory Data Analysis
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 11 hours to complete
English

Instructor

Offered by

Placeholder

University of Colorado Boulder

Syllabus - What you will learn from this course

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Week
1

Week 1

3 hours to complete

Exploratory Data Analysis and Visualizations

3 hours to complete
8 videos (Total 38 min), 1 reading, 3 quizzes
8 videos
0. Introduction to the Module. Why Exploratory Data Analysis is Important3m
1. Data Cleanup and Transformation4m
2. Dealing With Missing Values6m
3. Dealing with Outliers3m
4. Adding and Removing Variables4m
5. Common Graphs7m
6. What is Good Data Visualization?4m
1 reading
Register for Analytic Solver Platform for Education (ASPE)10m
2 practice exercises
Week 1 Quiz30m
Week 1 Application Assignment 1 (optional): Data Cleanup30m
Week
2

Week 2

2 hours to complete

Predicting a Continuous Variable

2 hours to complete
8 videos (Total 41 min)
8 videos
1. Introduction to Linear Regression8m
2. Assessing Predictive Accuracy Using Cross-Validation5m
3. Multiple Regression4m
4. Improving Model Fit3m
5. Model Selection3m
6. Challenges of Predictive Modeling5m
7. How to Build a Model using XLMiner8m
2 practice exercises
Week 2 Quiz30m
Week 2 Application Assignment40m
Week
3

Week 3

2 hours to complete

Predicting a Binary Outcome

2 hours to complete
8 videos (Total 33 min)
8 videos
1. Introduction to Logistic Regression4m
2. Building Logistic Regression Model6m
3. Multiple Logistic Regression3m
4. Cross Validation and Confusion Matrix5m
5. Cost Sensitive Classification2m
6. Comparing Models Independent of Costs and Cutoffs3m
7. Building Logistic Regression Models using XLMiner6m
2 practice exercises
Week 3 Quiz30m
Week 3 Application Assignment30m
Week
4

Week 4

4 hours to complete

Trees and Other Predictive Models

4 hours to complete
8 videos (Total 32 min)
8 videos
1. Introduction to Trees2m
2. Classification Trees5m
3. Regression Trees2m
4. Bagging, Boosting, Random Forest4m
5. Building Trees with XLMiner5m
6. Neural Networks5m
7. Building Neural Networks using XLMiner4m
3 practice exercises
Week 4 Quiz30m
Week 4 Application Assignment30m
Final Course Assignment Quiz30m

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About the Advanced Business Analytics Specialization

Advanced Business Analytics

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