About this Course
4.6
165 ratings
38 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 11 hours to complete

Suggested: 4 weeks of study, 3-4 hours per week...
Available languages

English

Subtitles: English, Korean, Arabic

Skills you will gain

Data AnalysisSimulationBusiness AnalyticsMathematical Optimization
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 11 hours to complete

Suggested: 4 weeks of study, 3-4 hours per week...
Available languages

English

Subtitles: English, Korean, Arabic

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

Data Exploration and Reduction — Cluster Analysis

...
Reading
7 videos (Total 53 min), 1 reading, 2 quizzes
Video7 videos
0. What is Cluster Analysis7m
1. Data Reduction and Unsupervised Learning7m
2. Preparing Data and Measuring Dissimilarities8m
3. Hierarchical and k-Means Clustering7m
4. Cluster Analysis with Excel8m
5. Cluster Analysis with XLMiner9m
Reading1 reading
Register for Analytic Solver Platform for Education (ASPE)10m
Quiz2 practice exercises
Week 1 Quiz16m
Week 1 Application Assignment - Clustering30m
Week
2
Hours to complete
2 hours to complete

Dealing with Uncertainty and Analyzing Risk

...
Reading
7 videos (Total 52 min), 2 quizzes
Video7 videos
1. Adding Uncertainty to a Spreadsheet Model9m
2. Defining Output Variables and Analyzing the Results7m
3. Using Historical Data to Model Uncertainty7m
4. Models with Correlated Uncertain Variables5m
5. Creating and Interpreting Charts8m
6. Using Average Values versus Simulation5m
Quiz2 practice exercises
Week 2 Quiz30m
Week 2 Application Assignment - Monte Carlo Simulation30m
Week
3
Hours to complete
2 hours to complete

Identifying the Best Options — Optimization

At the end of this module students should be able to: 1. Develop a spreadsheet model for an optimization problem 2. Use Excel to solve optimization models 3. Interpret solutions and conduct what-if analysis...
Reading
7 videos (Total 54 min), 2 quizzes
Video7 videos
1. Formulating an Optimization Problem7m
2. Developing a Spreadsheet Model7m
3. Adding Optimization to a Spreadsheet Model5m
4. What-if Analysis and the Sensitivity Report9m
5. Evaluating Scenarios and Visualizing Results to Gain Practical Insights9m
6. Digital Marketing Application of Optimization8m
Quiz2 practice exercises
Week 3 Quiz24m
Week 3 Application Assignment - Linear Optimization45m
Week
4
Hours to complete
2 hours to complete

Decision Analytics

At the end of this module students should be able to: 1. Given a business situation, apply an appropriate technique to identify the best solution alternatives 2. Formulate and solve models for business problems that requires yes/no decisions and logical constraints 3. Create models that mix techniques and tools such as simulation and optimizationAnalyze and interpret results to make informed decisions...
Reading
6 videos (Total 39 min), 2 quizzes
Video6 videos
1. Business Problems with Yes/No Decisions5m
2. Formulation and Solution of Binary Optimization Problems7m
3. Metaheuristic Optimization8m
4. Chance Constraints and Value At Risk6m
5. Simulation Optimization6m
Quiz2 practice exercises
Week 4 Quiz30m
Week 4 Application Assignment - Simulation Optimization45m
4.6
38 ReviewsChevron Right

Top Reviews

By NHJul 12th 2017

The instructor is great. However, I would like to know the solutions for the exam. I sometimes pass the exam but struggle with certain questions but had no clue how to resolve it.

By DAMar 9th 2018

Very interesting subject with a good instructor. I'd like to be able to cover the content in more detail, but it was a good introduction to optimization theory.

Instructor

Avatar

Manuel Laguna

Professor
Leeds School of Business

About University of Colorado Boulder

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....

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.

More questions? Visit the Learner Help Center.