About this Course

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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. 10 hours to complete

English

Subtitles: English, Korean

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. 10 hours to complete

English

Subtitles: English, Korean

Instructor

Offered by

University of Colorado Boulder logo

University of Colorado Boulder

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Exploratory Data Analysis and Visualizations

4 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 Quiz48m
Week 1 Application Assignment 1 (optional): Data Cleanup6m
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 Quiz18m
Week 2 Application Assignment40m
Week
3

Week 3

1 hour to complete

Predicting a Binary Outcome

1 hour 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 Quiz14m
Week 3 Application Assignment26m
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 Quiz12m
Week 4 Application Assignment10m
Final Course Assignment Quiz40m

About the Advanced Business Analytics Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • 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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